13. ICONIP 2006:
Hong Kong,
China
Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang (Eds.):
Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I.
Lecture Notes in Computer Science 4232 Springer 2006, ISBN 3-540-46479-4 BibTeX
Neurobiological Modeling and Analysis
- Colin Molter, Naoyuki Sato, Utku Salihoglu, Yoko Yamaguchi:
How Reward Can Induce Reverse Replay of Behavioral Sequences in the Hippocampus.
1-10
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- Meng Hu, Jiaojie Li, Guang Li, Walter J. Freeman:
Analysis of Early Hypoxia EEG Based on a Novel Chaotic Neural Network.
11-18
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- Hiroki Kurashige, Yutaka Sakai:
BCM-Type Synaptic Plasticity Model Using a Linear Summation of Calcium Elevations as a Sliding Threshold.
19-29
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- Guang-Li Wang, Xue Liu, Pu-Ming Zhang, Pei-Ji Liang:
A New Method for Multiple Spike Train Analysis Based on Information Discrepancy.
30-38
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- Ryosuke Hosaka, Tohru Ikeguchi, Kazuyuki Aihara:
Self-organizing Rhythmic Patterns with Spatio-temporal Spikes in Class I and Class II Neural Networks.
39-48
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- Toshio Akimitsu, Akira Hirose, Yoichi Okabe:
Self-organization Through Spike-Timing Dependent Plasticity Using Localized Synfire-Chain Patterns.
49-58
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- Wuyin Jin, Zhiyuan Rui, Yaobing Wei, Changfeng Yan:
Comparison of Spike-Train Responses of a Pair of Coupled Neurons Under the External Stimulus.
59-64
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- Ling Fu Meng, Chiu-Ping Lu, Bo-Wei Chen, Ching-Horng Chen:
Fatigue-Induced Reversed Hemispheric Plasticity During Motor Repetitions: A Brain Electrophysiological Study.
65-71
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- Minoru Tsukada, Yoshiyuki Yamazaki:
Functional Differences Between the Spatio-temporal Learning Rule (STLR) and Hebb Type (HEBB) in Single Pyramidal Cells in the Hippocampal CA1 Area.
72-81
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- Akhil R. Garg, Basabi Bhaumik:
Ratio of Average Inhibitory to Excitatory Conductance Modulates the Response of Simple Cell.
82-89
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- Beata Grzyb, Jacek Bialowas:
Modeling of LTP-Related Phenomena Using an Artificial Firing Cell.
90-96
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- Kai Yin, Xiao-jie Zhao, Li Yao:
Time Variant Causality Model Applied in Brain Connectivity Network Based on Event Related Potential.
97-104
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- Alan Rosen, David B. Rosen:
An Electromechanical Neural Network Robotic Model of the Human Body and Brain: Sensory-Motor Control by Reverse Engineering Biological Somatic Sensors.
105-116
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Cognitive Processing
- Toshikazu Samura, Motonobu Hattori, Shun Ishizaki:
Sequence Disambiguation by Functionally Divided Hippocampal CA3 Model.
117-126
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- Xiaodi Hou, Liqing Zhang:
A Time-Dependent Model of Information Capacity of Visual Attention.
127-136
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- Abdelhamid Bouchachia:
Learning with Incrementality.
137-146
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- Fumiko Tanabe, Ken Mogi:
Lability of Reactivated Human Declarative Memory.
147-154
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- Sintiani Dewi Teddy, Edmund Ming-Kit Lai, Quek Hiok Chai:
A Neuropsychologically-Inspired Computational Approach to the Generalization of Cerebellar Learning.
155-164
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- Osamu Watanabe:
A Neural Model for Stereo Transparency with the Population of the Disparity Energy Models.
165-174
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- Xia Wu, Li Yao, Zhi-ying Long, Jie Lu, Kuncheng Li:
Functional Connectivity in the Resting Brain: An Analysis Based on ICA.
175-182
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- Cheng-Yuan Liou, Jau-Chi Huang, Wen-Chie Yang:
Semantic Addressable Encoding.
183-192
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- Mei Tian, Siwei Luo, Lingzhi Liao, Lianwei Zhao:
Top-Down Attention Guided Object Detection.
193-202
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- Y. Lin, Y. P. Zhang, R. H. Wu, H. Li, Z. W. Shen, X. K. Chen, K. Huang, G. Guo:
Absolute Quantification of Brain Creatine Concentration Using Long Echo Time PRESS Sequence with an External Standard and LCModel: Verification with in Vitro HPLC Method.
203-210
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- Ryszard Tadeusiewicz, Andrzej Izworski:
Learning in Neural Network - Unusual Effects of "Artificial Dreams".
211-218
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- Nobuhiko Wagatsuma, Ko Sakai:
Spatial Attention in Early Vision Alternates Direction-of-Figure.
219-227
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- Fuminori Mizushima, Takashi Toyoshima:
Language Learnability by Feedback Self-Organizing Maps.
228-236
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- Jose Ignacio Serrano, M. Dolores del Castillo:
Text Representation by a Computational Model of Reading.
237-246
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- Hyungwook Yim, Changsu Park, Heuseok Lim, Kichun Nam:
Mental Representation and Processing Involved in Comprehending Korean Regular and Irregular Verb Eojeols: An fMRI and Reaction Time Study.
247-254
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- Hidetaka Morisawa, Daisuke Hirayama, Kazuhisa Fujita, Yoshiki Kashimori, Takeshi Kambara:
Binding Mechanism of Frequency-Specific ITD and IID Information in Sound Localization of Barn Owl.
255-262
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- Seiichi Hirooka, Kazuhisa Fujita, Yoshiki Kashimori:
Effect of Feedback Signals on Tuning Shifts of Subcortical Neurons in Echolocation of Bat.
263-271
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- Tian Guan, Qin Gong, Datian Ye:
A Novel Speech Processing Algorithm for Cochlear Implant Based on Selective Fundamental Frequency Control.
272-279
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- Emad A. M. Andrews Shenouda, Quaid Morris, Anthony J. Bonner:
Connectionist Approaches for Predicting Mouse Gene Function from Gene Expression.
280-289
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- Gisoon Yu, Choong-Myung Kim, Dong Hwee Kim, Kichun Nam:
Semantic Activation and Cortical Areas Related to the Lexical Ambiguity and Idiomatic Ambiguity.
290-297
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- Wojciech Kacalak, Maciej Majewski:
Intelligent System for Automatic Recognition and Evaluation of Speech Commands.
298-305
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- Rubin Wang, Zhikang Zhang:
A New Mechanism on Brain Information Processing - Energy Coding.
306-313
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Mathematical Modeling and Analysis
- Man-Wai Mak, Sun-Yuan Kung:
A Solution to the Curse of Dimensionality Problem in Pairwise Scoring Techniques.
314-323
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- C. F. Lo, T. K. Chung:
First Passage Time Problem for the Ornstein-Uhlenbeck Neuronal Model.
324-331
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- Zhan Shu, James Lam:
Delay-Dependent Exponential Estimates of Stochastic Neural Networks with Time Delay.
332-341
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- Xiang Peng, Irwin King:
Imbalanced Learning in Relevance Feedback with Biased Minimax Probability Machine for Image Retrieval Tasks.
342-351
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- Takashi Saeki, Tsutomu Miki:
Improvement of the Perfect Recall Rate of Block Splitting Type Morphological Associative Memory Using a Majority Logic Approach.
352-360
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- Colin Fyfe, Gayle Leen:
Two Methods for Sparsifying Probabilistic Canonical Correlation Analysis.
361-370
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- Saejoon Kim:
Turbo Decoding as an Instance of Expectation Maximization Algorithm.
371-378
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- Wenlian Lu, Tianping Chen:
Dynamical Behaviors of a Large Class of Delayed Differential Systems with Discontinuous Right-Hand Side.
379-386
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- Hiroaki Arie, Jun Namikawa, Tetsuya Ogata, Jun Tani, Shigeki Sugano:
Reinforcement Learning Algorithm with CTRNN in Continuous Action Space.
387-396
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- Masahiro Nakagawa:
Entropy Based Associative Model.
397-406
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- Tikara Hosino, Kazuho Watanabe, Sumio Watanabe:
Free Energy of Stochastic Context Free Grammar on Variational Bayes.
407-416
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- Yu Nishiyama, Sumio Watanabe:
Asymptotic Behavior of Stochastic Complexity of Complete Bipartite Graph-Type Boltzmann Machines.
417-426
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- Raphael V. Carneiro, Stiven Schwanz Dias, Dijalma Fardin, Hallysson Oliveira, Artur S. d'Avila Garcez, Alberto Ferreira de Souza:
Improving VG-RAM Neural Networks Performance Using Knowledge Correlation.
427-436
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- Jinhyuk Choi, Geehyuk Lee:
The Bifurcating Neuron Network 3 as Coloring Problem Solver and N-Ary Associative Memory.
437-446
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- Hui Kong, Jian-Gang Wang:
Coupling Adaboost and Random Subspace for Diversified Fisher Linear Discriminant.
447-456
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- Hengqing Tong, Li Xiong, Hui Peng:
Self-organized Path Constraint Neural Network: Structure and Algorithm.
457-466
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- Yao-qun Xu, Ming Sun, Ji-hong Shen:
Gauss Wavelet Chaotic Neural Networks.
467-476
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- Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa:
Training RBFs Networks: A Comparison Among Supervised and Not Supervised Algorithms.
477-486
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- SeungGwan Lee:
A Cooperation Online Reinforcement Learning Approach in Ant-Q.
487-494
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- Haiqing Wang, Daoying Pi, Ning Jiang, Steven X. Ding:
Soft Analyzer Modeling for Dearomatization Unit Using KPCR with Online Eigenspace Decomposition.
495-504
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- Vajpai Jayashri, J. B. Arun:
A Soft Computing Based Approach for Modeling of Chaotic Time Series.
505-512
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- Yatong Zhou, Taiyi Zhang, Xiaohe Li:
Predicting Nonstationary Time Series with Multi-scale Gaussian Processes Model.
513-520
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- John Sum, Andrew Chi-Sing Leung, Kevin Ho:
Prediction Error of a Fault Tolerant Neural Network.
521-528
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- Wudai Liao, Dongyun Wang, Yulin Xu, Xiaoxin Liao:
Delay-Dependent and Delay-Independent Stability Conditions of Delayed Cellular Neural Networks.
529-536
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- Ke Zhang, Sadayuki Murashima:
The Perfect Recalling Rate of Morphological Associative Memory.
537-546
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- Akio Kawana, Shinya Tsuzuki, Osamu Watanabe:
Analysis of Dynamics of Cultured Neuronal Networks Using I&F Model.
547-553
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- Run-Nian Ma, Guo-Qiang Bai:
Convergence Study of Discrete Neural Networks with Delay.
554-561
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- Wei Wu, Hongmei Shao, Zhengxue Li:
Convergence of Batch BP Algorithm with Penalty for FNN Training.
562-569
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- Zeynep Orman, Sabri Arik:
New Results for Global Stability of Cohen-Grossberg Neural Networks with Discrete Time Delays.
570-579
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- Weirui Zhao, Huanshui Zhang:
Global Stability of Cohen-Grossberg Neural Networks with Distributed Delays.
580-590
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- Chaojin Fu, Zhongsheng Wang:
Exponential Stability of Neural Networks with Distributed Time Delays and Strongly Nonlinear Activation Functions.
591-597
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- Yonggui Kao, Cunchen Gao, Lu Wu, Qinghe Ming:
Global Stability of Bidirectional Associative Memory Neural Networks with Variable Coefficients and S-Type Distributed Delays.
598-607
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- Deepak Mishra, Arvind Tolambiya, Amit Shukla, Prem Kumar Kalra:
Stability Analysis for Higher Order Complex-Valued Hopfield Neural Network.
608-615
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Learning Algorithms
- Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
Mixture of Neural Networks: Some Experiments with the Multilayer Feedforward Architecture.
616-625
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- Ryotaro Kamimura, Fumihiko Yoshida, Ryozo Kitajima:
Collective Information-Theoretic Competitive Learning: Emergency of Improved Performance by Collectively Treated Neurons.
626-633
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- Chuanhuan Yin, Shengfeng Tian, Shaomin Mu:
A Fast Bit-Parallel Algorithm for Gapped String Kernels.
634-641
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- Bo Shao, Zhitong Cao, Yuetong Xu:
A RBFN Based Cogging Force Estimator of PMLSM with q<1 Structure.
642-649
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- Shingo Takamatsu, Shinichi Nakajima, Sumio Watanabe:
Localized Bayes Estimation for Non-identifiable Models.
650-659
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- Hengqing Tong, Yanfang Deng, Ziling Li:
Optimality of Kernel Density Estimation of Prior Distribution in Bayes Network.
660-669
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- Kyu Baek Hwang, Byoung-Hee Kim, Byoung-Tak Zhang:
Learning Hierarchical Bayesian Networks for Large-Scale Data Analysis.
670-679
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- Wang Limin:
Learning Bayesian-Neural Network from Mixed-Mode Data.
680-687
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- Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
Adaptive Boosting: Dividing the Learning Set to Increase the Diversity and Performance of the Ensemble.
688-697
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- Shuichi Kurogi, Shinya Tanaka, Ryohei Koyama, Takeshi Nishida:
Ensemble of Competitive Associative Nets and a Method to Select an Effective Number of Units.
698-707
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- Thiago Dutra, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto:
Using Weighted Combination-Based Methods in Ensembles with Different Levels of Diversity.
708-717
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- Bingjie Liu, Changhua Hu:
Integrated Neural Network Ensemble Algorithm Based on Clustering Technology.
718-726
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- Dmitry Kropotov, Dmitry Vetrov, Nikita Ptashko, Oleg Vasiliev:
The Use of Stability Principle for Kernel Determination in Relevance Vector Machines.
727-736
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- Haiqing Wang, Ping Li, Zhi-Huan Song, Steven X. Ding:
Adaptive Kernel Leaning Networks with Application to Nonlinear System Identification.
737-746
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- Mauricio Alvarez, Ricardo Henao:
Probabilistic Kernel Principal Component Analysis Through Time.
747-754
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- Imhoi Koo, Rhee Man Kil:
Confidence Intervals for the Risks of Regression Models.
755-764
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- Thanapant Raicharoen, Chidchanok Lursinsap, Frank C. Lin:
A Divide-and-Conquer Approach to the Pairwise Opposite Class-Nearest Neighbor (POC-NN) Algorithm for Regression Problem.
765-772
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Support Vector Machines
- Wen Wen, Zhifeng Hao, Zhuangfeng Shao, Xiaowei Yang, Ming Chen:
A Heuristic Weight-Setting Algorithm for Robust Weighted Least Squares Support Vector Regression.
773-781
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- Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Hui Zheng, Einar P. V. Wilder-Smith:
Feature Selection Using SVM Probabilistic Outputs.
782-791
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- Ha-Nam Nguyen, Syng-Yup Ohn:
Unified Kernel Function and Its Training Method for SVM.
792-800
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- Ping Ling, Zhe Wang, Chunguang Zhou:
A Spectrum-Based Support Vector Algorithm for Relational Data Semi-supervised Classification.
801-810
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- Bo Chen, Hongwei Liu, Zheng Bao:
Speeding Up SVM in Test Phase: Application to Radar HRRP ATR.
811-818
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- Yinshan Jia, Wang Yumei:
A New Dual nu-Support Vector Machine.
819-826
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- Jun Guo, Norikazu Takahashi, Tetsuo Nishi:
A Novel Sequential Minimal Optimization Algorithm for Support Vector Regression.
827-836
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- Pilsung Kang, Sungzoon Cho:
EUS SVMs: Ensemble of Under-Sampled SVMs for Data Imbalance Problems.
837-846
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- Jingmin Wang, Guoqiao Ren:
A Improved SVM and Its Using in Electric Power System Load Forecasting.
847-855
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- Qinzhen Xu, Wenjiang Pei, Luxi Yang, Zhenya He:
Support Vector Machine Tree Based on Feature Selection.
856-863
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- Sung-Hae Jun, Kyung-Whan Oh:
A Competitive Co-evolving Support Vector Clustering.
864-873
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- Zonghai Sun:
Fuzzy Probability C-Regression Estimation Based on Least Squares Support Vector Machine.
874-881
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- Jilin Yang, Hong Peng, Zheng Pei:
Filtering E-Mail Based on Fuzzy Support Vector Machines and Aggregation Operator.
882-891
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- Jian Cheng, Jian-Sheng Qian, Yi-Nan Guo:
A Distributed Support Vector Machines Architecture for Chaotic Time Series Prediction.
892-899
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- Jiancheng Sun, Yatong Zhou, Yaohui Bai, Jianguo Luo:
Nonlinear Noise Reduction of Chaotic Time Series Based on Multi-dimensional Recurrent Least Squares Support Vector Machines.
900-906
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Self-Organizing Map
- Takeshi Yamakawa, Keiichi Horio, Masaharu Hoshino:
Self-Organizing Map with Input Data Represented as Graph.
907-914
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- Arthur L. Hsu, Saman K. Halgamuge:
Semi-supervised Learning of Dynamic Self-Organising Maps.
915-924
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- Ryotaro Kamimura:
Self-organizing by Information Maximization: Realizing Self-Organizing Maps by Information-Theoretic Competitive Learning.
925-934
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- Shuhei Nishida, Kazuo Ishii, Tetsuo Furukawa:
An Online Adaptation Control System Using mnSOM.
935-942
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- Tetsuo Furukawa, Kazuhiro Tokunaga:
Generalization of the Self-Organizing Map: From Artificial Neural Networks to Artificial Cortexes.
943-949
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- Tetsuo Furukawa:
SOM of SOMs: An Extension of SOM from 'Map' to 'Homotopy'.
950-957
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- Kazuhiro Tokunaga, Tetsuo Furukawa:
Modular Network SOM: Theory, Algorithm and Applications.
958-967
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- Takeshi Yamakawa, Keiichi Horio, Takahiro Tanaka:
Evaluation-Based Topology Representing Network for Accurate Learning of Self-Organizing Relationship Network.
968-977
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- Yuexian Hou, Gong Kefei, Pilian He:
Adaptively Incremental Self-organizing Isometric Embedding.
978-986
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- Shuzhong Yang, Siwei Luo, Jianyu Li:
An Extended Model on Self-Organizing Map.
987-994
Electronic Edition (link) BibTeX
- Manuel Martín-Merino, Jesus Román:
A New SOM Algorithm for Electricity Load Forecasting.
995-1003
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- Tetsunari Oshime, Toshimichi Saito, Hiroyuki Torikai:
ART-Based Parallel Learning of Growing SOMs and Its Application to TSP.
1004-1011
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- Cheng-Yuan Liou, Yen-Ting Kuo, Jau-Chi Huang:
Smooth Seamless Surface Construction Based on Conformal Self-organizing Map.
1012-1021
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- Lijuan Huang:
Consumer's Purchasing Behavior Analysis Based on the Self-Organizing Feature Map Neural Network Algorithm in E-Supply Chain.
1022-1029
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- Shiyuan Liu, Li Lu, Guanglan Liao, Jianping Xuan:
Pattern Discovery from Time Series Using Growing Hierarchical Self-Organizing Map.
1030-1037
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Independent Component Analysis and Blind Source Separation
- Zhaoshui He, Andrzej Cichocki, Shengli Xie:
K-Hyperplanes Clustering and Its Application to Sparse Component Analysis.
1038-1047
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- Ingo R. Keck, Jan Churan, Fabian J. Theis, Peter Gruber, Elmar Wolfgang Lang, Carlos García Puntonet:
Region of Interest Based Independent Component Analysis.
1048-1057
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- Qinghua Huang, Jie Yang, Yue Zhou:
Variational Bayesian Method for Temporally Correlated Source Separation.
1058-1067
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- Hao Shen, Knut Hüper, Alexander J. Smola:
Newton-Like Methods for Nonparametric Independent Component Analysis.
1068-1077
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- Chan-Cheng Liu, Tsung-Ying Sun, Sheng-Ta Hsieh, Chun-Ling Lin, Kan-Yuan Lee:
A Hybrid Blind Signal Separation Algorithm: Particle Swarm Optimization on Feed-Forward Neural Network.
1078-1087
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- Tahir Rasheed, Myung Ho In, Young-Koo Lee, Sungyoung Lee, Soo Yeol Lee, Tae-Seong Kim:
Constrained ICA Based Ballistocardiogram and Electro-Oculogram Artifacts Removal from Visual Evoked Potential EEG Signals Measured Inside MRI.
1088-1097
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- Mao Ye, Xuqian Fan, Qihe Liu:
Monotonic Convergence of a Nonnegative ICA Algorithm on Stiefel Manifold.
1098-1106
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- Fasong Wang, Hongwei Li, Rui Li:
Exterior Penalty Function Method Based ICA Algorithm for Hybrid Sources Using GKNN Estimation.
1107-1116
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- Yinghong Luo, Caixia Tao, Xiaohu Qiang, Xiangyan Zeng:
Denoising by Anisotropic Diffusion of Independent Component Coefficients.
1117-1124
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- Beihai Tan, Xiaolu Li:
Blind Separation of Digital Signal Sources in Noise Circumstance.
1125-1132
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- Chandra Shekhar Dhir, Hyung-Min Park, Soo-Young Lee:
Performance Evaluation of Directionally Constrained Filterbank ICA on Blind Source Separation of Noisy Observations.
1133-1142
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- C. F. Lo, T. K. Chung:
First Passage Time Problem for the Ornstein-Uhlenbeck Neuronal Model.
1155-1164
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Copyright © Sat May 16 23:20:52 2009
by Michael Ley (ley@uni-trier.de)
