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Conferences in DBLP

International Conference on Neural Information Processing (iconip)
2006 (conf/iconip/2006-1)

  1. Colin Molter, Naoyuki Sato, Utku Salihoglu, Yoko Yamaguchi
    How Reward Can Induce Reverse Replay of Behavioral Sequences in the Hippocampus. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:1-10 [Conf]
  2. Meng Hu, Jiaojie Li, Guang Li, Walter J. Freeman
    Analysis of Early Hypoxia EEG Based on a Novel Chaotic Neural Network. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:11-18 [Conf]
  3. Hiroki Kurashige, Yutaka Sakai
    BCM-Type Synaptic Plasticity Model Using a Linear Summation of Calcium Elevations as a Sliding Threshold. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:19-29 [Conf]
  4. Guang-Li Wang, Xue Liu 0002, Pu-Ming Zhang, Pei-Ji Liang
    A New Method for Multiple Spike Train Analysis Based on Information Discrepancy. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:30-38 [Conf]
  5. Ryosuke Hosaka, Tohru Ikeguchi, Kazuyuki Aihara
    Self-organizing Rhythmic Patterns with Spatio-temporal Spikes in Class I and Class II Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:39-48 [Conf]
  6. Toshio Akimitsu, Akira Hirose, Yoichi Okabe
    Self-organization Through Spike-Timing Dependent Plasticity Using Localized Synfire-Chain Patterns. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:49-58 [Conf]
  7. Wuyin Jin, Zhiyuan Rui, Yaobing Wei, Changfeng Yan
    Comparison of Spike-Train Responses of a Pair of Coupled Neurons Under the External Stimulus. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:59-64 [Conf]
  8. Ling Fu Meng, Chiu-Ping Lu, Bo-Wei Chen, Ching-Horng Chen
    Fatigue-Induced Reversed Hemispheric Plasticity During Motor Repetitions: A Brain Electrophysiological Study. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:65-71 [Conf]
  9. 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. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:72-81 [Conf]
  10. Akhil R. Garg, Basabi Bhaumik
    Ratio of Average Inhibitory to Excitatory Conductance Modulates the Response of Simple Cell. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:82-89 [Conf]
  11. Beata Grzyb, Jacek Bialowas
    Modeling of LTP-Related Phenomena Using an Artificial Firing Cell. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:90-96 [Conf]
  12. Kai Yin, Xiao-jie Zhao, Li Yao
    Time Variant Causality Model Applied in Brain Connectivity Network Based on Event Related Potential. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:97-104 [Conf]
  13. 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. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:105-116 [Conf]
  14. Toshikazu Samura, Motonobu Hattori, Shun Ishizaki
    Sequence Disambiguation by Functionally Divided Hippocampal CA3 Model. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:117-126 [Conf]
  15. Xiaodi Hou, Liqing Zhang
    A Time-Dependent Model of Information Capacity of Visual Attention. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:127-136 [Conf]
  16. Abdelhamid Bouchachia
    Learning with Incrementality. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:137-146 [Conf]
  17. Fumiko Tanabe, Ken Mogi
    Lability of Reactivated Human Declarative Memory. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:147-154 [Conf]
  18. Sintiani Dewi Teddy, Edmund Ming-Kit Lai, Quek Hiok Chai
    A Neuropsychologically-Inspired Computational Approach to the Generalization of Cerebellar Learning. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:155-164 [Conf]
  19. Osamu Watanabe
    A Neural Model for Stereo Transparency with the Population of the Disparity Energy Models. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:165-174 [Conf]
  20. Xia Wu, Li Yao, Zhi-ying Long, Jie Lu, Kun-cheng Li
    Functional Connectivity in the Resting Brain: An Analysis Based on ICA. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:175-182 [Conf]
  21. Cheng-Yuan Liou, Jau-Chi Huang, Wen-Chie Yang
    Semantic Addressable Encoding. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:183-192 [Conf]
  22. Mei Tian, Siwei Luo, Lingzhi Liao, Lianwei Zhao
    Top-Down Attention Guided Object Detection. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:193-202 [Conf]
  23. 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. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:203-210 [Conf]
  24. Ryszard Tadeusiewicz, Andrzej Izworski
    Learning in Neural Network - Unusual Effects of "Artificial Dreams". [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:211-218 [Conf]
  25. Nobuhiko Wagatsuma, Ko Sakai
    Spatial Attention in Early Vision Alternates Direction-of-Figure. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:219-227 [Conf]
  26. Fuminori Mizushima, Takashi Toyoshima
    Language Learnability by Feedback Self-Organizing Maps. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:228-236 [Conf]
  27. Jose Ignacio Serrano, M. Dolores del Castillo
    Text Representation by a Computational Model of Reading. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:237-246 [Conf]
  28. 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. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:247-254 [Conf]
  29. 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. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:255-262 [Conf]
  30. Seiichi Hirooka, Kazuhisa Fujita, Yoshiki Kashimori
    Effect of Feedback Signals on Tuning Shifts of Subcortical Neurons in Echolocation of Bat. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:263-271 [Conf]
  31. Tian Guan, Qin Gong, Datian Ye
    A Novel Speech Processing Algorithm for Cochlear Implant Based on Selective Fundamental Frequency Control. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:272-279 [Conf]
  32. Emad A. M. Andrews Shenouda, Quaid Morris, Anthony J. Bonner
    Connectionist Approaches for Predicting Mouse Gene Function from Gene Expression. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:280-289 [Conf]
  33. Gisoon Yu, Choong-Myung Kim, Dong Hwee Kim, Kichun Nam
    Semantic Activation and Cortical Areas Related to the Lexical Ambiguity and Idiomatic Ambiguity. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:290-297 [Conf]
  34. Wojciech Kacalak, Maciej Majewski
    Intelligent System for Automatic Recognition and Evaluation of Speech Commands. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:298-305 [Conf]
  35. Rubin Wang, Zhikang Zhang
    A New Mechanism on Brain Information Processing - Energy Coding. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:306-313 [Conf]
  36. Man-Wai Mak, Sun-Yuan Kung
    A Solution to the Curse of Dimensionality Problem in Pairwise Scoring Techniques. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:314-323 [Conf]
  37. C. F. Lo, T. K. Chung
    First Passage Time Problem for the Ornstein-Uhlenbeck Neuronal Model. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:324-331 [Conf]
  38. Zhan Shu, James Lam
    Delay-Dependent Exponential Estimates of Stochastic Neural Networks with Time Delay. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:332-341 [Conf]
  39. Xiang Peng, Irwin King
    Imbalanced Learning in Relevance Feedback with Biased Minimax Probability Machine for Image Retrieval Tasks. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:342-351 [Conf]
  40. Takashi Saeki, Tsutomu Miki
    Improvement of the Perfect Recall Rate of Block Splitting Type Morphological Associative Memory Using a Majority Logic Approach. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:352-360 [Conf]
  41. Colin Fyfe, Gayle Leen
    Two Methods for Sparsifying Probabilistic Canonical Correlation Analysis. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:361-370 [Conf]
  42. Saejoon Kim
    Turbo Decoding as an Instance of Expectation Maximization Algorithm. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:371-378 [Conf]
  43. Wenlian Lu, Tianping Chen
    Dynamical Behaviors of a Large Class of Delayed Differential Systems with Discontinuous Right-Hand Side. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:379-386 [Conf]
  44. Hiroaki Arie, Jun Namikawa, Tetsuya Ogata, Jun Tani, Shigeki Sugano
    Reinforcement Learning Algorithm with CTRNN in Continuous Action Space. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:387-396 [Conf]
  45. Masahiro Nakagawa
    Entropy Based Associative Model. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:397-406 [Conf]
  46. Tikara Hosino, Kazuho Watanabe, Sumio Watanabe
    Free Energy of Stochastic Context Free Grammar on Variational Bayes. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:407-416 [Conf]
  47. Yu Nishiyama, Sumio Watanabe
    Asymptotic Behavior of Stochastic Complexity of Complete Bipartite Graph-Type Boltzmann Machines. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:417-426 [Conf]
  48. Raphael V. Carneiro, Stiven S. Dias, Dijalma Fardin, Hallysson Oliveira, Artur S. d'Avila Garcez, Alberto F. De Souza
    Improving VG-RAM Neural Networks Performance Using Knowledge Correlation. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:427-436 [Conf]
  49. Jinhyuk Choi, Geehyuk Lee
    The Bifurcating Neuron Network 3 as Coloring Problem Solver and N-Ary Associative Memory. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:437-446 [Conf]
  50. Hui Kong, Jian-Gang Wang
    Coupling Adaboost and Random Subspace for Diversified Fisher Linear Discriminant. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:447-456 [Conf]
  51. Hengqing Tong, Li Xiong, Hui Peng
    Self-organized Path Constraint Neural Network: Structure and Algorithm. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:457-466 [Conf]
  52. Yao-qun Xu, Ming Sun, Ji-hong Shen
    Gauss Wavelet Chaotic Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:467-476 [Conf]
  53. Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa
    Training RBFs Networks: A Comparison Among Supervised and Not Supervised Algorithms. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:477-486 [Conf]
  54. SeungGwan Lee
    A Cooperation Online Reinforcement Learning Approach in Ant-Q. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:487-494 [Conf]
  55. Haiqing Wang, Daoying Pi, Ning Jiang, Steven X. Ding
    Soft Analyzer Modeling for Dearomatization Unit Using KPCR with Online Eigenspace Decomposition. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:495-504 [Conf]
  56. Vajpai Jayashri, J. B. Arun
    A Soft Computing Based Approach for Modeling of Chaotic Time Series. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:505-512 [Conf]
  57. Yatong Zhou, Taiyi Zhang, Xiaohe Li
    Predicting Nonstationary Time Series with Multi-scale Gaussian Processes Model. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:513-520 [Conf]
  58. John Sum, Andrew Chi-Sing Leung, Kevin Ho
    Prediction Error of a Fault Tolerant Neural Network. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:521-528 [Conf]
  59. Wudai Liao, Dongyun Wang, Yulin Xu, Xiaoxin Liao
    Delay-Dependent and Delay-Independent Stability Conditions of Delayed Cellular Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:529-536 [Conf]
  60. Ke Zhang, Sadayuki Murashima
    The Perfect Recalling Rate of Morphological Associative Memory. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:537-546 [Conf]
  61. Akio Kawana, Shinya Tsuzuki, Osamu Watanabe
    Analysis of Dynamics of Cultured Neuronal Networks Using I&F Model. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:547-553 [Conf]
  62. Run-Nian Ma, Guo-Qiang Bai
    Convergence Study of Discrete Neural Networks with Delay. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:554-561 [Conf]
  63. Wei Wu, Hongmei Shao, Zhengxue Li
    Convergence of Batch BP Algorithm with Penalty for FNN Training. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:562-569 [Conf]
  64. Zeynep Orman, Sabri Arik
    New Results for Global Stability of Cohen-Grossberg Neural Networks with Discrete Time Delays. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:570-579 [Conf]
  65. Weirui Zhao, Huanshui Zhang
    Global Stability of Cohen-Grossberg Neural Networks with Distributed Delays. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:580-590 [Conf]
  66. Chaojin Fu, Zhongsheng Wang
    Exponential Stability of Neural Networks with Distributed Time Delays and Strongly Nonlinear Activation Functions. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:591-597 [Conf]
  67. Yonggui Kao, Cunchen Gao, Lu Wu, Qinghe Ming
    Global Stability of Bidirectional Associative Memory Neural Networks with Variable Coefficients and S-Type Distributed Delays. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:598-607 [Conf]
  68. Deepak Mishra, Arvind Tolambiya, Amit Shukla, Prem Kumar Kalra
    Stability Analysis for Higher Order Complex-Valued Hopfield Neural Network. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:608-615 [Conf]
  69. Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
    Mixture of Neural Networks: Some Experiments with the Multilayer Feedforward Architecture. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:616-625 [Conf]
  70. Ryotaro Kamimura, Fumihiko Yoshida, Ryozo Kitajima
    Collective Information-Theoretic Competitive Learning: Emergency of Improved Performance by Collectively Treated Neurons. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:626-633 [Conf]
  71. Chuanhuan Yin, Shengfeng Tian, Shaomin Mu
    A Fast Bit-Parallel Algorithm for Gapped String Kernels. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:634-641 [Conf]
  72. Bo Shao, Zhitong Cao, Yuetong Xu
    A RBFN Based Cogging Force Estimator of PMLSM with q<1 Structure. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:642-649 [Conf]
  73. Shingo Takamatsu, Shinichi Nakajima, Sumio Watanabe
    Localized Bayes Estimation for Non-identifiable Models. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:650-659 [Conf]
  74. Hengqing Tong, Yanfang Deng, Ziling Li
    Optimality of Kernel Density Estimation of Prior Distribution in Bayes Network. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:660-669 [Conf]
  75. Kyu Baek Hwang, Byoung-Hee Kim, Byoung-Tak Zhang
    Learning Hierarchical Bayesian Networks for Large-Scale Data Analysis. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:670-679 [Conf]
  76. Wang Limin
    Learning Bayesian-Neural Network from Mixed-Mode Data. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:680-687 [Conf]
  77. Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
    Adaptive Boosting: Dividing the Learning Set to Increase the Diversity and Performance of the Ensemble. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:688-697 [Conf]
  78. Shuichi Kurogi, Shinya Tanaka, Ryohei Koyama, Takeshi Nishida
    Ensemble of Competitive Associative Nets and a Method to Select an Effective Number of Units. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:698-707 [Conf]
  79. Thiago Dutra, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto
    Using Weighted Combination-Based Methods in Ensembles with Different Levels of Diversity. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:708-717 [Conf]
  80. Bingjie Liu, Changhua Hu
    Integrated Neural Network Ensemble Algorithm Based on Clustering Technology. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:718-726 [Conf]
  81. Dmitry Kropotov, Dmitry Vetrov, Nikita Ptashko, Oleg Vasiliev
    The Use of Stability Principle for Kernel Determination in Relevance Vector Machines. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:727-736 [Conf]
  82. Haiqing Wang, Ping Li, Zhi-Huan Song, Steven X. Ding
    Adaptive Kernel Leaning Networks with Application to Nonlinear System Identification. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:737-746 [Conf]
  83. Mauricio Alvarez, Ricardo Henao
    Probabilistic Kernel Principal Component Analysis Through Time. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:747-754 [Conf]
  84. Imhoi Koo, Rhee Man Kil
    Confidence Intervals for the Risks of Regression Models. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:755-764 [Conf]
  85. 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. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:765-772 [Conf]
  86. Wen Wen, Zhifeng Hao, Zhuangfeng Shao, Xiaowei Yang, Ming Chen
    A Heuristic Weight-Setting Algorithm for Robust Weighted Least Squares Support Vector Regression. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:773-781 [Conf]
  87. Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Hui Zheng, Einar P. V. Wilder-Smith
    Feature Selection Using SVM Probabilistic Outputs. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:782-791 [Conf]
  88. Ha-Nam Nguyen, Syng-Yup Ohn
    Unified Kernel Function and Its Training Method for SVM. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:792-800 [Conf]
  89. Ping Ling, Zhe Wang, Chunguang Zhou
    A Spectrum-Based Support Vector Algorithm for Relational Data Semi-supervised Classification. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:801-810 [Conf]
  90. Bo Chen, Hongwei Liu, Zheng Bao
    Speeding Up SVM in Test Phase: Application to Radar HRRP ATR. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:811-818 [Conf]
  91. Yinshan Jia, Wang Yumei
    A New Dual nu-Support Vector Machine. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:819-826 [Conf]
  92. Jun Guo, Norikazu Takahashi, Tetsuo Nishi
    A Novel Sequential Minimal Optimization Algorithm for Support Vector Regression. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:827-836 [Conf]
  93. Pilsung Kang, Sungzoon Cho
    EUS SVMs: Ensemble of Under-Sampled SVMs for Data Imbalance Problems. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:837-846 [Conf]
  94. Jingmin Wang, Guoqiao Ren
    A Improved SVM and Its Using in Electric Power System Load Forecasting. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:847-855 [Conf]
  95. Qinzhen Xu, Wenjiang Pei, Luxi Yang, Zhenya He
    Support Vector Machine Tree Based on Feature Selection. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:856-863 [Conf]
  96. Sung-Hae Jun, Kyung-Whan Oh
    A Competitive Co-evolving Support Vector Clustering. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:864-873 [Conf]
  97. Zonghai Sun
    Fuzzy Probability C-Regression Estimation Based on Least Squares Support Vector Machine. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:874-881 [Conf]
  98. Jilin Yang, Hong Peng, Zheng Pei
    Filtering E-Mail Based on Fuzzy Support Vector Machines and Aggregation Operator. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:882-891 [Conf]
  99. Jian Cheng, Jian-Sheng Qian, Yi-Nan Guo
    A Distributed Support Vector Machines Architecture for Chaotic Time Series Prediction. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:892-899 [Conf]
  100. 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. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:900-906 [Conf]
  101. Takeshi Yamakawa, Keiichi Horio, Masaharu Hoshino
    Self-Organizing Map with Input Data Represented as Graph. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:907-914 [Conf]
  102. Arthur L. Hsu, Saman K. Halgamuge
    Semi-supervised Learning of Dynamic Self-Organising Maps. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:915-924 [Conf]
  103. Ryotaro Kamimura
    Self-organizing by Information Maximization: Realizing Self-Organizing Maps by Information-Theoretic Competitive Learning. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:925-934 [Conf]
  104. Shuhei Nishida, Kazuo Ishii, Tetsuo Furukawa
    An Online Adaptation Control System Using mnSOM. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:935-942 [Conf]
  105. Tetsuo Furukawa, Kazuhiro Tokunaga
    Generalization of the Self-Organizing Map: From Artificial Neural Networks to Artificial Cortexes. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:943-949 [Conf]
  106. Tetsuo Furukawa
    SOM of SOMs: An Extension of SOM from 'Map' to 'Homotopy'. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:950-957 [Conf]
  107. Kazuhiro Tokunaga, Tetsuo Furukawa
    Modular Network SOM: Theory, Algorithm and Applications. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:958-967 [Conf]
  108. Takeshi Yamakawa, Keiichi Horio, Takahiro Tanaka
    Evaluation-Based Topology Representing Network for Accurate Learning of Self-Organizing Relationship Network. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:968-977 [Conf]
  109. Yuexian Hou, Gong Kefei, Pilian He
    Adaptively Incremental Self-organizing Isometric Embedding. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:978-986 [Conf]
  110. Shuzhong Yang, Siwei Luo, Jianyu Li
    An Extended Model on Self-Organizing Map. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:987-994 [Conf]
  111. Manuel Martín-Merino, Jesus Román
    A New SOM Algorithm for Electricity Load Forecasting. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:995-1003 [Conf]
  112. Tetsunari Oshime, Toshimichi Saito, Hiroyuki Torikai
    ART-Based Parallel Learning of Growing SOMs and Its Application to TSP. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:1004-1011 [Conf]
  113. Cheng-Yuan Liou, Yen-Ting Kuo, Jau-Chi Huang
    Smooth Seamless Surface Construction Based on Conformal Self-organizing Map. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:1012-1021 [Conf]
  114. Lijuan Huang
    Consumer's Purchasing Behavior Analysis Based on the Self-Organizing Feature Map Neural Network Algorithm in E-Supply Chain. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:1022-1029 [Conf]
  115. Shiyuan Liu, Li Lu, Guanglan Liao, Jianping Xuan
    Pattern Discovery from Time Series Using Growing Hierarchical Self-Organizing Map. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:1030-1037 [Conf]
  116. Zhaoshui He, Andrzej Cichocki, Shengli Xie
    K-Hyperplanes Clustering and Its Application to Sparse Component Analysis. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:1038-1047 [Conf]
  117. Ingo R. Keck, Jan Churan, Fabian J. Theis, Peter Gruber, Elmar Wolfgang Lang, Carlos García Puntonet
    Region of Interest Based Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:1048-1057 [Conf]
  118. Qinghua Huang, Jie Yang, Yue Zhou
    Variational Bayesian Method for Temporally Correlated Source Separation. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:1058-1067 [Conf]
  119. Hao Shen, Knut Hüper, Alexander J. Smola
    Newton-Like Methods for Nonparametric Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:1068-1077 [Conf]
  120. 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. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:1078-1087 [Conf]
  121. 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. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:1088-1097 [Conf]
  122. Mao Ye, Xuqian Fan, Qihe Liu
    Monotonic Convergence of a Nonnegative ICA Algorithm on Stiefel Manifold. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:1098-1106 [Conf]
  123. Fasong Wang, Hongwei Li, Rui Li
    Exterior Penalty Function Method Based ICA Algorithm for Hybrid Sources Using GKNN Estimation. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:1107-1116 [Conf]
  124. Yinghong Luo, Caixia Tao, Xiaohu Qiang, Xiangyan Zeng
    Denoising by Anisotropic Diffusion of Independent Component Coefficients. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:1117-1124 [Conf]
  125. Beihai Tan, Xiaolu Li
    Blind Separation of Digital Signal Sources in Noise Circumstance. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:1125-1132 [Conf]
  126. Chandra Shekhar Dhir, Hyung-Min Park, Soo-Young Lee
    Performance Evaluation of Directionally Constrained Filterbank ICA on Blind Source Separation of Noisy Observations. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:1133-1142 [Conf]
  127. C. F. Lo, T. K. Chung
    First Passage Time Problem for the Ornstein-Uhlenbeck Neuronal Model. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:1155-1164 [Conf]
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