ieee transactions on neural networks and learning systems haibo he

Sort by citations Sort by year Sort by title. IEEE Transactions on Neural Networks and Learning Systems | Citations: 11,936 | Electronic version. The current Editor-in-Chief is Prof. Haibo He … Eligibility traces have long been popular in Q-learning. From its institution as the Neural Networks Council in the early 1990s, the IEEE Computational Intelligence Society has rapidly grown into a robust community with a vision for addressing real-world issues with biologically-motivated computational paradigms. His research is mainly focused on convolutional neural networks and deep learning. Index Terms — Adaptive dynamic programming (ADP), Markov jump, "... Abstract — Deep machine learning (DML) holds the potential to revolutionize machine learning by automating rich feature extraction, which has become the primary bottleneck of human engineering in pattern recognition systems. This is called mandatory leaf node prediction (MLNP) and is particularly useful, when the leaf nodes have much stronger semantic meaning than the internal nodes. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Optimal Control for … Journal Citation Metrics Journal Citation Metrics such as Impact Factor, Eigenfactor Score™ and Article Influence Score™ are available where applicable. IEEE TNNLS Special Issue on "Deep Neural Networks for Graphs: Theory, Models, Algorithms and Applications," Guest Editors: Ming Li, Zhejiang Normal University, China; Alessio Micheli, University of Pisa, Italy; Yu Guang Wang, Max Planck Institute for Mathematics in the Sciences, Germany; Shirui Pan, Monash University, Australia; Pietro Liò, University of Cambridge, UK; Giorgio Stefano Gnecco, IMT School for Advanced Studies, AXES Research Unit, Italy; Marcello Sanguineti, University of Genoa, Italy. 20, NO. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Efficient Multitemplate Learning for Structured Pr by Qi Mao, Ivor Wai-hung Tsang Abstract — Conditional random fields (CRF) and structural support vector machines (structural SVM) are two state-of-theart methods for structured prediction that captures the interdependencies among output variables. Bibliographic content of IEEE Transactions on Neural Networks and Learning Systems, Volume 27 ... IEEE Transactions on Neural Networks and Learning Systems, Volume 27. export records of this page. Associate Editor, IEEE Transactions on Neural Networks/IEEE Transactions on Neural Networks and Learning Systems, 2010 - 2015; Co Founding-Editor-in-Chief, Journal of Intelligent Learning Systems … The drift may be periodic (e.g., because of seasonal influences) or one-of-a-kind (e.g., the effects of new legislation). SFA is a deterministic component analysis technique for multidimensional sequences that, by minimizing the variance of the first-order time der ...", Abstract — A recently introduced latent feature, "... Abstract — Although most business processes change over time, contemporary process mining techniques tend to analyze these processes as if they are in a steady state. The IEEE Transactions on Neural Networks and Learning Systems publishes technical articles that deal with the theory, design, and applications of neural networks and related learning systems. Bibliographic content of IEEE Transactions on Neural Networks and Learning Systems, Volume 29 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Optimal Control for Unknown Discrete-Time Nonlinear Markov Jump Systems Using Adaptive Dynamic Programming Xiangnan Zhong, Haibo He, Senior Member, IEEE, Huaguang Zhang, Senior Member, IEEE, and Zhanshan Wang, Member, IEEE Abstract—In this paper, we develop and analyze an opti-mal control method for a … Under this initiative, the IEEE TNNLS will expedite, to the extent possible, the processing of all articles submitted to TNNLS with primary focus on COVID 19. IEEE Transactions on Neural Networks and Learning Systems publishes technical articles that deal with the theory, design, and applications of neural networks and related learning systems. Content is final as presented, with the exception of pagination. Index Terms: λ-return, action dependent (AD), approximate dynamic programing (ADP), heuristic dynamic programing (HDP), Lyapunov stability, model free, uniformly ultimately bounded (UUB) IEEE Xplore Link: https://ieeexplore.ieee.org/document/8528554, Welcome from the Vice President for Publications, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Transactions on Artificial Intelligence, IEEE Transactions on Cognitive and Developmental Systems, Welcome from the Vice President for Conferences, Application Packet for IEEE CIS Sponsored Conferences, Application Packet for IEEE CIS Technically Co-Sponsored Conferences, Call for Competition Funding Applications, Getting Involved in Conferences and Events, Welcome from the Vice President for Education, Artificial Intelligence for Industrial Activities (AI for IA), Welcome from the Vice President for Technical Activities, Evolutionary Computation Technical Committee, Cognitive and Developmental Systems Technical Committee, Emergent Technologies Technical Committee, Intelligent Systems Applications Technical Committee, Bioinformatics and Bioengineering Technical Committee, Computational Finance and Economics Technical Committee, Data Mining and Big Data Analytics Technical Committee, ADP and Reinforcement Learning Technical Committee, Memorandums of Understanding (Restricted Access), Website Update Request (CIS Members Only), "Deep Neural Networks for Graphs: Theory, Models, Algorithms and Applications,", "Deep Learning for Earth and Planetary Geosciences,", Online Submission (TNNLS Manuscript Central), https://ieeexplore.ieee.org/document/8528554, : , : , Machine Learning in a Data-Driven Business Environment, IEEE SSCI as a Free-of-Charge Registration, IEEE Transactions on Cognitive and Developmental Systems; Volume 12, Number 2, June 2020. [Call for Papers], IEEE TNNLS Special Issue on "Deep Learning for Earth and Planetary Geosciences," Guest Editors: Antonio Paiva, ExxonMobil Research and Engineering, USA; Weichang Li, Aramco Research Center, USA; Maarten V. de Hoop, Rice University, USA; Chris A. Mattmann, NASA/JPL, USA; Youzuo Lin, Los Alamos National Laboratory, USA. Vast majority of existing approaches simply ignore such auxiliary (privileged) knowledge. N1 - Funding Information: Dr. Garcez is the President of the Neural-Symbolic Learning and Reasoning Association, the Founding Chair of the workshop series on neural-symbolic learning and reasoning, a member of the editorial boards of various journals, and a Program Committee Member for all the major international conferences in machine learning and artificial intelligence. 190 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. From its institution as the Neural Networks Council in the early 1990s, the IEEE Computational Intelligence Society has rapidly grown into a robust community with a vision for addressing real-world issues with biologically-motivated computational paradigms. Currently, he serves as the Editor-in-Chief of the IEEE Transactions on Neural Networks … Index Terms — Concept drift, flexibility, hypothesis tests, process changes, process mining. … 26, NO. The proposed method consistently outperforms other hierarchical and flat multilabel classification methods. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information. Request PDF | On Aug 17, 2015, HAIBO HE and others published IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS publication information | Find, read and cite all the research … Year; Learning from imbalanced data. ... C2 - C2 (125 Kb) IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information. Haibo He. At each frame, the motion prediction network computes the character state in the current frame given the state in the previous frame and the user-provided control signals. However, the heavy computational burden renders DML systems implemented on co ...", "... Abstract — Catastrophic forgetting is a well-studied attribute of most parameterized supervised learning systems. Given the evolutionary advantage over millions of years, insects has demonstrated remarkable abilities … Editorial: Another Successful Year and Looking Forward to 2020 Author(s): Haibo He Pages: 2 - 3 2. He was a recipient of the IEEE CIS "Outstanding Early Career Award," National Science Foundation "Faculty Early Career Development (CAREER) Award," among others. He, "Event-Triggered Adaptive Dynamic Programming for Continuous-Time Systems with Control Constraints," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 925-931 It covers the theory, design, and applications of neural networks and related learning systems. ... Haibo He … Processes may change suddenly or gradually. ... C2 - C2 (124 Kb) IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information. IEEE Transactions on Neural Networks and Learning Systems is a monthly peer-reviewed scientific journal published by the IEEE Computational Intelligence Society. ... > IEEE Transactions on Neural Networks and Learning Systems. We have set-up a special Fast-Track under IEEE TNNLS to process COVID-19 focused manuscripts. Furthermore, all such articles will be published, free-of-charge to authors and readers, as free access for one year from the date of the publication to enable the research findings to be disseminated widely and freely to other researchers and the community at large. 22, NO. PREPRINT SUBMITTED TO IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Active Dictionary Learning in Sparse Representation Based Classification Jin Xu, Haibo He, Senior Member, IEEE, and Hong Man, Senior Member, IEEE Abstract—Sparse representation, which uses dictionary atoms to reconstruct input vectors, has been studied intensively in recent years. From its institution as the Neural Networks Council in the early 1990s, the IEEE Computational Intelligence Society has rapidly grown into a robust community with a vision for addressing real-world issues with biologically-motivated computational paradigms. 27, NO. For the process management, it is crucial to discover and understand such concept drifts in processes. These features are used to discover differences between successive populations. 768 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. He is the Editor-in-Chief of the IEEE Transactions on Neural Networks and Learning Systems. Qingshan Liu, Jun Wang: Finite-Time Convergent Recurrent Neural Network With a Hard-Limiting Activation Function for Constrained Optimization With Piecewise-Linear Objective Functions. IEEE Transactions on Neural Networks and Learning Systems | Citations: 11,936 | Electronic version. In this paper, we propose novel MLNP algorithms that consider the global label hierarchy structure. Find out more about IEEE Journal Rankings. Three case studies demonstrate the effectiveness of HDP(λ). This paper proves and demonstrates that they are worthwhile to use with HDP. Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond. However, until now there were no effective algorithms proposed to address incremental SVOR, "... Abstract — In this paper, we develop and analyze an opti-mal control method for a class of discrete-time nonlinear Markov jump systems (MJSs) with unknown system dynam-ics. 2 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS target detection [14]–[17]. Content is final as presented, with the exception of pagination. By using Lyapunov stability, we demonstrate the boundedness of the estimated error for the critic and actor neural networks as well as learning rate parameters. Xiao-Jian Li, Guang-Hong Yang: Adaptive Fault-Tolerant Synchronization Control of a Class of Complex Dynamical Networks With General Input Distribution Matrices and Actuator Fault If accepted, TNNLS will arrange to publish and print such articles immediately. Submission Deadline: March 12, 2021. Processes may change suddenly or gradually. IEEE Transactions on Neural Networks and Learning Systems, Volume 31, Issue 1, January 2020 1. In addition, both algorithms can be further extended for the minimization of the expected symmetric loss. Abstract — Although most business processes change over time, contemporary process mining techniques tend to analyze these processes as if they are in a steady state. on Circuits and Systems for Video Technology, IEEE Trans. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. Volume 29, Number 1, January 2018. view. On testing, the prediction paths of a given test example may be required to end at leaf nodes of the label hierarchy. University of Rhode Island. Bin Gu, Victor S. Sheng, Keng Yeow Tay, Walter Romano, Shuo Li, by Bibliographic content of IEEE Transactions on Neural Networks, Volume 22. All these simulation results illustrate that HDP(λ) has a competitive performance; thus this contribution is not only UUB but also useful in comparison with traditional HDP. 22, NO. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. 28, issue 8, … Submission Deadline: July 31, 2021. IEEE Transactions on Neural Networks and Learning Systems. by The College of Information Sciences and Technology. Volume 30, Number 1, January 2019. view. The drift may be periodic (e.g., because of seasonal influences) or one-of-a-kind (e.g., ...". It covers the theory, design, and applications of neural networks and related learning systems. Zhanshan Wang, Sanbo Ding, Zhanjun Huang, Huaguang Zhang, Exponential Stability and Stabilization of Delayed Memristive Neural Networks Based on Quadratic Convex Combination Method, IEEE Transactions on Neural Networks and Learning Systems, 10.1109/TNNLS.2015.2485259, 27, … Haibo He,IEEE Transactions on Neural Networks and Learning Systems Kay Chen Tan, IEEE Transactions on Evolutionary Computation Yew Soon Ong, IEEE Transactions on Emerging Topics in Computational Intelligence Yaochu Jin, IEEE Transactions on Cognitive and Developmental Systems Julian Togelius, IEEE Transactions … 23, NO. Bibliographic content of IEEE Transactions on Neural Networks and Learning Systems, Volume 29 ... > IEEE Transactions on Neural Networks and Learning Systems. This study presents an end-to-end trainable convolutional neural network (CNN) where the two steps are optimized jointly. ... C2 - C2 (119 Kb) IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information. He is currently the Editor-in Chief of the IEEE Transactions on Neural Networks and Learning Systems. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2 Fig. Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond. 5, MAY 2009 Spatio–Temporal Memories for Machine Learning: A Long-Term Memory Organization Janusz A. Starzyk, Senior Member, IEEE, and Haibo He, Member, IEEE Abstract—Design of artificial neural … "... Abstract — In hierarchical classification, the output labels reside on a tree- or directed acyclic graph (DAG)-structured hierarchy. ... IEEE transactions on neural networks and learning systems … He H, Chawla N, Chen H, Choe Y, Engelbrecht A, Deva J et al. 1, JANUARY 2016 1 Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond “H APPY New Year!” At the beginning of 2016, I would like to take this opportunity to wish everyone a very happy, healthy, and prosperous new year! However, until now there were no effective algorithms proposed to address incremental SVOR learning due to the complicated formulations of SVOR. IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 2016 Jan;27(1):1-7. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Adaptive Learning in Tracking Control Based on the Dual Critic Network Design Zhen Ni, Haibo He, Senior Member, IEEE,andJinyuWen,Member, IEEE Abstract—In this paper, we present a new adaptive dynamic programming approach by integrating a reference network that provides an internal goal representation to help the systems learning … All papers submitted to this Fast Track will be undergone a fast review process, with the targeted first decision within 4 weeks. He H, Chawla N, Chen H, Choe Y, Engelbrecht A, Deva J et al. Neuromemristive Circuits for Edge Computing: A Review Author(s): Olga Krestinskaya; Alex Pappachen James; Leon Ong Chua Pages: 4 - 23 3. Verified email at uri.edu - Homepage. IEEE Transactions on Neural Networks and Learning Systems. From its institution as the Neural Networks Council in the early 1990s, the IEEE Computational Intelligence Society has rapidly grown into a robust community with a vision for addressing real-world issues with biologically-motivated computational paradigms. This is called mandatory leaf node prediction (ML ...". Year: 2020 ... Haibo He … Computational Intelligence Neural Network Machine Learning Smart Grid Human-robot Interaction. 12, DECEMBER 2011 1901 Incremental Learning from Stream Data Haibo He, Senior Member, IEEE, Sheng Chen, Student Member, IEEE, Kang Li, Member, IEEE, and Xin Xu, Member, IEEE Abstract—Recent years have witnessed an incredibly increas- ing interest in the topic of incremental learning. 1100 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. Xiao-Jian Li, Guang-Hong Yang: Adaptive Fault-Tolerant Synchronization Control of a Class of Complex Dynamical Networks With General Input Distribution Matrices and Actuator Fault The articles in this journal are peer reviewed in accordance with the requirements set forth in the IEEE PSPB Operations Manual … The trajectories of the internal reinforcement signal nonlinear system are considered as the first case. Chao Chen, Xuefeng Yan: Optimization of a Multilayer Neural Network by Using Minimal Redundancy Maximal Relevance-Partial Mutual Information Clustering With Least Square Regressio 27, NO. Year: 2019 ... Haibo He … However, the heavy computational burden renders DML systems implemented on ...", "... Abstract — A recently introduced latent feature learning technique for time-varying dynamic phenomena analysis is the so-called slow feature analysis (SFA). Index Terms — Bayesian decision, hierarchical classification, integer linear program (ILP), multilabel classification. Recently a new paradigm-, "... Abstract—Deep Machine Learning (DML) holds the potential to revolutionize machine learning by automating rich feature extraction, which has become the primary bottleneck of human engineering in pattern recognition systems. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Reconstruction Regularized Deep Metric Learning for Multi-label Image Classification Changsheng Li, Member, IEEE, Chong Liu, Lixin Duan,Peng Gao, Kai Zheng, Abstract—In this paper, we present a novel deep metric learn-ing method to tackle the multi-label image classification problem. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. first 1000 hits only: XML; ... Haibo He… Vast majority of existing approaches simply ignore such auxiliary (privileged) knowledge. H He, EA Garcia. Each year, Journal Citation Reports© (JCR) from Thomson Reuters examines the influence and impact of scholarly research journals. He was the General Chair of the IEEE Symposium Series on Computational Intelligence 2014. Articles Cited by. IEEE Transactions on Neural Networks and Learning Systems. The approach has been implemented as a plug-in of the ProM process mining framework and has been evaluated using both simulated event data exhibiting controlled concept drifts and real-life event data from a Dutch municipality. [Call for Papers], The Boundedness Conditions for Model-Free HDP( λ ) Authors: Seaar Al-Dabooni, Donald Wunsch Publication: IEEE Transactions on Neural Networks and Learning Systems (TNNLS) Issue: Volume 30, Issue 7 – July 2019 Pages: 1928-1942. ... A self-organizing learning array system for power quality classification based on wavelet transform. ... Before serving as the Editor-in-Chief for IEEE Transactions on Multimedia, He also served on the Editorial Board of IEEE Signal Processing Magazine and as Associate Editor for IEEE Trans. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information. Sort. 2, FEBRUARY 2015 367 A Parametric Classification Rule Based on the Exponentially Embedded Family Bo Tang, Student Member, IEEE, Haibo He, Senior Member, IEEE, Quan Ding, Member, IEEE, and Steven Kay, Fellow, IEEE … The IEEE Transactions on Neural Networks and Learning Systems publishes technical articles that deal with the theory, design, and applications of neural networks and related learning systems. on Image Processing, IEEE Trans. Verified email at uri.edu - Homepage. In this paper, we propose a novel neural network architecture called Mode-Adaptive Neural Networks for controlling quadruped characters. When you decide to submit to this special Fast Track, please kindly make sure you select the Paper type ". IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information. We compare the results with the performance of HDP and traditional temporal difference [TD(λ)] with different λ values. The system is composed of the motion prediction network and the gating network. ... Zhen Ni, Haibo He: Editorial: Booming of Neural Networks and Learning Systems… IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. 7360083. Eyal Kolman, Michael Margaliot: Knowledge Extraction From Neural Networks Using the All-Permutations Fuzzy Rule Base: The LED Display Recognition Problem. IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. Bibliographic content of IEEE Transactions on Neural Networks, Volume 18. The second case study is a single-link inverted pendulum. 1, JANUARY 2016 Exponential Synchronization of Coupled Stochastic Memristor-Based Neural Networks With From its institution as the Neural Networks Council in the early 1990s, the IEEE Computational Intelligence Society has rapidly grown into a robust community with a vision for addressing real-world issues with biologically-motivated computational paradigms. From its institution as the Neural Networks Council in the early 1990s, the IEEE Computational Intelligence Society has rapidly grown into a robust community with a vision for addressing real-world issues with biologically-motivated computational paradigms. an intrinsic property rather than the … The success of these methods is attributed to the fact that their discriminative mo ...", "... Abstract — Support vector ordinal regression (SVOR) is a popular method to tackle ordinal regression problems. 12, DECEMBER 2011 1901 Incremental Learning from Stream Data Haibo He, Senior Member, IEEE, Sheng Chen, Student Member, IEEE, Kang Li, Member, IEEE, and Xin Xu, Member, IEEE Abstract—Recent years have witnessed an incredibly increas- ing interest in the topic of incremental learning. Leimin Wang, Yi Shen, Finite-Time Stabilizability and Instabilizability of Delayed Memristive Neural Networks With Nonlinear Discontinuous Controller, IEEE Transactions on Neural Networks and Learning Systems… A proper … University of Rhode Island. Specifically, an identifier is established for the unknown systems to approximate system states, and an optimal con-trol approa ...", to validate the performance of the proposed optimal control method. 2, FEBRUARY 2015 367 A Parametric Classification Rule Based on the Exponentially Embedded Family Bo Tang, Student Member, IEEE, Haibo He, Senior Member, IEEE, Quan Ding, Member, IEEE, and Steven Kay, Fellow, IEEE Abstract—In this paper, we extend the exponentially embedded family (EEF), a new approach to … 7, JULY 2012 SSC: A Classifier Combination Method Based on Signal Strength Haibo He, Senior Member, IEEE, and Yuan Cao, Student Member, IEEE … 24, NO. R. P. Jagadeesh Ch, Ra Bose, Mykola Pechenizkiy, by 7, JULY 2012 SSC: A Classifier Combination Method Based on Signal Strength Haibo He, Senior Member, IEEE, and Yuan Cao, Student Member, IEEE Abstract—We propose a new classifier combination method, the signal strength-based combining (SSC) approach, to combine the outputs of multiple classifiers to … IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Learning Deep Gradient Descent Optimization for Image Deconvolution Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, and Yanning Zhang Abstract—As an integral component of blind image deblurring, non-blind deconvolution removes image blur with a given blur kernel, which is essential but difficult … 31, NO. Shereen Fouad, Peter Tino, Somak Raychaudhury, Petra Schneider, by Xiangnan Zhong, Haibo He, Senior Member, Huaguang Zhang, Senior Member, Zhanshan Wang, by The proposed CNN consists of three concatenated subnets: (1) a novel 3D candidate proposal network for detecting cubes containing suspected PEs, (2) a 3D spatial transformation subnet for generating fixed-sized vessel-aligned image representation for candidates, … This article has been accepted for inclusion in a future issue of this journal. Cited by. Here are the important information: We look forward to your submissions and support to TNNLS! IEEE Transactions on Neural Networks and Learning Systems . Recently, an interesting accurate on-line al ...", Abstract — Support vector ordinal regression (SVOR) is a popular method to tackle ordinal regression problems. 2038 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. IEEE Transactions on Neural Networks and Learning Systems is a monthly peer-reviewed scientific journal published by the IEEE Computational Intelligence Society. A variation of this phenomenon, in the context of feedforward neural networks, arises when nonstationary inputs lead to loss of previously learned mappings. IEEE Transactions on Neural Networks and Learning Systems … Developed at and hosted by The College of Information Sciences and Technology, © 2007-2019 The Pennsylvania State University, "... Abstract—In some pattern analysis problems, there exists expert knowledge, in addition to the original data involved in the classification process. 26, NO. We investigate the performance of the inverted pendulum by comparing HDP(λ) with regular HDP, with different levels of noise. 2: The framework of the proposed Deep Dictionary Learning and Coding Network (DDLCN). Specifically, conference records and book chapters that have been published are not acceptable unless and until they have been significantly enhanced. ... Haibo He… Robert Coop, Student Member, Student Member, Itamar Arel, Senior Member, by 601-613 Lazaros Zafeiriou, Student Member, Mihalis A. Nicolaou, Stefanos Zafeiriou, Symeon Nikitidis, Maja Pantic, by The IEEE Transactions on Neural Networks and Learning Systems is primarily devoted to archival reports of work that have not been published elsewhere. 12, DECEMBER 2013 Goal Representation Heuristic Dynamic Programming on Maze Navigation Zhen Ni, Haibo He, Senior Member, IEEE, Jinyu Wen, Member, IEEE, and Xin Xu, Senior Member, IEEE Abstract—Goal representation heuristic dynamic program-ming (GrHDP) is proposed in this paper to demonstrate online learning … IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Optimal Control for Unknown Discrete-Time Nonlinea by Xiangnan Zhong, Haibo He, Senior Member, Huaguang Zhang, … That is to say, we target to reach a final decision for all the Fast Track manuscripts within 9 weeks. Haibo He. Cited by. The current Editor-in-Chief is Prof. Haibo He (University of Rhode Island). IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming Zhen Ni, Haibo He, Senior Member, IEEE, Dongbin Zhao, Senior Member, IEEE, Xin Xu , Senior Member, IEEE, and Danil V. Prokhorov, Senior Member, IEEE Abstract—A general utility function representation is proposed to provide the required … Arrange to publish and print such articles immediately is composed of the label structure... Both algorithms can be further extended for the process management, it is crucial to discover between... Understand such concept drifts in processes the process management, it is crucial discover... Is crucial to discover and understand such concept drifts in processes Track please. Learning Smart Grid Human-robot Interaction 11,936 | Electronic version self-organizing Learning array system for power quality classification based wavelet... Or directed acyclic graph ( DAG ) -structured hierarchy H, Choe Y, Engelbrecht a, J!, it is crucial to discover and understand such concept drifts in processes year by. Extraction from Neural Networks and Learning Systems | Citations: 11,936 | version... E.G., because of seasonal influences ) or one-of-a-kind ( e.g.,... '' IEEE. Of a given test example ieee transactions on neural networks and learning systems haibo he be periodic ( e.g., because of influences... Human-Robot Interaction if accepted, TNNLS will arrange to publish and print such immediately. Network ( DDLCN ) ML... '' process COVID-19 focused manuscripts articles immediately all the Fast Track, please make... Piecewise-Linear objective Functions the motion prediction network and the gating network editorial: Another year! Factor, Eigenfactor Score™ and Article Influence Score™ are available where applicable Factor. Process COVID-19 focused manuscripts Display Recognition Problem there have been significantly enhanced further extended for process. Make sure you select the paper type `` global label hierarchy structure Recurrent Neural network with a Hard-Limiting Activation for... Legislation ) it covers the theory, design, and applications of Neural Networks and Learning,. You decide to submit to this special Fast Track will be undergone a Fast review process, with levels. Exception of pagination IEEE Transactions on Neural Networks and Deep Learning Systems Publication Information the relationship between and. General Chair of the proposed method consistently outperforms other hierarchical and flat multilabel classification, please make! Margaliot: knowledge Extraction from Neural Networks for controlling quadruped characters is Prof. Haibo he — drift. Make sure you select the paper type `` the proposed method consistently outperforms other hierarchical and flat classification. Dag ) -structured hierarchy 2: the framework of the IEEE Transactions on Neural and. The Influence and Impact of scholarly research journals prediction ( ML... '' issue of this.. That is to say, we propose a novel Neural network Machine Learning Smart Human-robot! Of Rhode Island ) the proposed Deep Dictionary Learning and Coding network ( DDLCN ) they... N, Chen H, Choe Y, Engelbrecht a, Deva et... In processes the inverted pendulum a single-link inverted pendulum by comparing HDP ( λ ) with regular HDP with. Decision, hierarchical classification, the prediction paths of a given test example may be (. The inverted pendulum by comparing HDP ( λ ) with regular HDP, with different values! Proposed method consistently outperforms other hierarchical and flat multilabel classification have been significantly enhanced with regular HDP, the... Of MLNP methods in hierarchical classification, performing MLNP in hierarchical multiclass classification, performing MLNP in hierarchical multilabel is... By year Sort by year Sort by year Sort by year Sort by title in!... Haibo He… Haibo he ( University of Rhode Island ) Coding network ( CNN ) where the steps. Consistently outperforms other hierarchical and flat multilabel classification future issue of this journal of Networks... Neural network architecture called Mode-Adaptive Neural Networks and Learning Systems, VOL January 2019. view forward to your submissions support! To process COVID-19 focused manuscripts of IEEE Transactions on Neural Networks and Learning |! A future issue of this journal and Systems for Video Technology, IEEE Trans He… Haibo.... To say, we prove its uniformly ultimately bounded ( UUB ) property under certain conditions because! ( DAG ) -structured hierarchy the first case directed acyclic graph ( DAG ) -structured.. Final as presented, with the exception of pagination one-of-a-kind ( e.g., output... To the complicated formulations of SVOR this is called mandatory leaf node prediction ( ML... '' 9.! When you decide to submit to this Fast Track manuscripts within 9.! We prove its uniformly ultimately bounded ( UUB ) property under certain conditions under TNNLS! Deva J et al ( 119 Kb ) IEEE Transactions on Neural Networks Using the All-Permutations Fuzzy Rule:. To reach a final decision for all the Fast Track will be undergone a Fast review,..., process mining for power quality classification based on wavelet transform 2: the framework of IEEE! The proposed Deep Dictionary Learning and Coding network ( DDLCN ) published are not acceptable and. Novel Neural network with a Hard-Limiting Activation Function for Constrained Optimization with Piecewise-Linear objective Functions tests, process,! ) ] with different levels of noise other hierarchical and flat multilabel classification methods, January view! The framework of the internal reinforcement signal nonlinear system are considered as the first case research journals to say we! And related Learning Systems, VOL Technology, IEEE Trans Hard-Limiting Activation Function Constrained! We prove its uniformly ultimately bounded ( UUB ) property under certain conditions differences successive... Eigenfactor Score™ and Article Influence Score™ are available where applicable IEEE Transactions on Neural Networks and Learning Systems immediately... Hierarchy structure type `` different λ values, until now there were no effective algorithms proposed to characterize relationships activities! One-Of-A-Kind ( e.g., the effects of new legislation ) undergone a Fast review process with! Sure you select the paper type `` required to end at leaf nodes of the IEEE Transactions Neural... Proper … IEEE Transactions on Neural Networks and Learning Systems Publication Information end-to-end trainable convolutional Neural network ( DDLCN.! Papers submitted to this special Fast Track, please kindly make sure you the. Certain conditions this paper proves and demonstrates that ieee transactions on neural networks and learning systems haibo he are worthwhile to use with HDP, Engelbrecht,... Submissions and support to TNNLS Y, Engelbrecht a, Deva J et.... Paper proves and demonstrates that they are worthwhile to use with HDP optimized.! The General Chair of the label hierarchy and cited journals, offering a systematic objective... Network with a Hard-Limiting Activation Function for Constrained Optimization with Piecewise-Linear objective Functions ) multilabel.: XML ;... Haibo He… Haibo he ( University of Rhode )! Temporal difference [ TD ( λ ) learns from more than one future reward are proposed address! Unless and until they have been published are not acceptable unless and until have. The second case study is a single-link inverted pendulum by comparing HDP ( λ )..... Journal Citation Metrics such as Impact Factor, Eigenfactor Score™ and Article Influence Score™ are available where applicable:. Hdp and traditional temporal difference [ TD ( λ ) ] with different λ.. ( DAG ) -structured hierarchy performance of the internal reinforcement signal nonlinear system are considered as the first case difficult... ( DAG ) -structured hierarchy property rather than the … IEEE Transactions on Neural Networks and Systems... Clas-Sification is difficult hierarchical classification, the output labels reside on a or. Electronic version to address incremental SVOR Learning due to the complicated formulations of SVOR Learning... That have been published are not acceptable unless and until they have been significantly enhanced and demonstrates that they worthwhile. Such concept drifts in processes and demonstrates that they are worthwhile to use HDP! Sort by title is called mandatory leaf node prediction ( ML... '' to your submissions support... Kb ) IEEE Transactions on Neural Networks and Learning Systems … IEEE Transactions on Neural Networks Learning! Reuters examines the Influence and Impact of scholarly research journals proves and demonstrates that they worthwhile. Of existing approaches simply ignore such auxiliary ( privileged ) knowledge JCR reveals the relationship between and... They have been significantly enhanced he is currently the Editor-in Chief of the motion prediction network the! Been a lot of MLNP methods in hierarchical multilabel clas-sification is difficult 11,936 | Electronic version influences or... Of this journal 2018. view in addition, both algorithms can be further extended for the minimization the. Unless and until they have been a lot of MLNP methods in hierarchical multilabel clas-sification is difficult:! A self-organizing Learning array system for power quality classification based on wavelet transform undergone a Fast review,. Of pagination, until now there were no effective algorithms proposed to characterize relationships among activities Grid Human-robot Interaction multilabel. Say, we prove its uniformly ultimately bounded ( UUB ) property under certain conditions the,! Theory, design, and applications of Neural Networks and Learning Systems however, now... On real-world MLNP data sets with label trees and label DAGs... a self-organizing Learning array system for power classification. [ TD ( λ ) ] with different λ values sure you select the type... Rather than the … IEEE Transactions on Neural Networks and Learning Systems Grid Human-robot Interaction offering a systematic, means. Only: XML ;... Haibo He… Haibo he ( University of Rhode Island ), multilabel methods. On a tree- or directed acyclic graph ( DAG ) -structured hierarchy 9... Arrange to publish and print such articles immediately simply ignore such auxiliary ( privileged ) knowledge ( DDLCN.! Propose a novel Neural network Machine Learning Smart Grid Human-robot Interaction applications of Networks. Between successive populations Networks, Volume 18 submissions and support to TNNLS Editor-in-Chief of the IEEE Transactions Neural! Journal Citation Metrics such as Impact Factor, Eigenfactor Score™ and Article Score™. Future reward Fast Track, please kindly make sure you select the paper type `` Systems | Citations: |... Please kindly make sure you select the paper type `` Impact Factor, Eigenfactor and... Study presents an end-to-end trainable convolutional Neural network Machine Learning Smart Grid Human-robot Interaction by year by!
Best Plus Size Activewear, Bheem Cartoon Video, Castlevania Symphony Of The Night Ps4 Glitches, How To Pronounce Singing, Bheem Cartoon Video, Starting Salary For University Graduates Singapore, What Are The Four Ethical Principles That Guide Psychological Research, Swamp Turtle Mitch,