Semi-supervised Learning of Dynamic Self-Organising Maps (English)
- New search for: Hsu, A.
- New search for: Halgamuge, S. K.
- New search for: Hsu, A.
- New search for: Halgamuge, S. K.
- New search for: King, Irwin
In:
International conference on neural information processing; ICONIP 2006
4232
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915-924
;
2006
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ISBN:
-
ISSN:
- Conference paper / Print
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Title:Semi-supervised Learning of Dynamic Self-Organising Maps
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Contributors:
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Conference:13th, International conference on neural information processing; ICONIP 2006 ; 2006 ; Hong Kong, China
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Published in:LECTURE NOTES IN COMPUTER SCIENCE , 4232 ; 915-924
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Publisher:
- New search for: Springer
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Place of publication:Berlin
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Publication date:2006-01-01
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Size:10 pages
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Remarks:Includes bibliographical references and index. ICONIP 2006.
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ISBN:
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ISSN:
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Type of media:Conference paper
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Type of material:Print
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Language:English
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Keywords:
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Source:
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Table of contents conference proceedings
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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How Reward Can Induce Reverse Replay of Behavioral Sequences in the HippocampusMolter, C. / Sato, N. / Salihoglu, U. / Yamaguchi, Y. et al. | 2006
- 11
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Analysis of Early Hypoxia EEG Based on a Novel Chaotic Neural NetworkHu, M. / Li, J. / Li, G. / Freeman, W. J. et al. | 2006
- 19
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BCM-Type Synaptic Plasticity Model Using a Linear Summation of Calcium Elevations as a Sliding ThresholdKurashige, H. / Sakai, Y. et al. | 2006
- 30
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A New Method for Multiple Spike Train Analysis Based on Information discrepancyWang, G.-L. / Liu, X. / Zhang, P.-M. / Liang, P.-J. et al. | 2006
- 39
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Self-organizing Rhythmic Patterns with Spatio-temporal Spikes in Class I and Class II Neural NetworksHosaka, R. / Ikeguchi, T. / Aihara, K. et al. | 2006
- 49
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Self-organization Through Spike-Timing Dependent Plasticity Using Localized Synfire-Chain PatternsAkimitsu, T. / Hirose, A. / Okabe, Y. et al. | 2006
- 59
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Comparison of Spike-Train Responses of a Pair of Coupled Neurons Under the External StimulusJin, W. / Rui, Z. / Wei, Y. / Yan, C. et al. | 2006
- 65
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Fatigue-Induced Reversed Hemispheric Plasticity During Motor Repetitions: A Brain Electrophysiological StudyMeng, L.-F. / Lu, C.-P. / Chen, B.-W. / Chen, C.-H. et al. | 2006
- 72
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Functional Differences Between the Spatio-temporal Learning Rule (STLR) and Hebb Type (HEBB) in Single Pyramidal Cells in the Hippocampal CA1 AreaTsukada, M. / Yamazaki, Y. et al. | 2006
- 82
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Ratio of Average Inhibitory to Excitatory Conductance Modulates the Response of Simple CellGarg, A. R. / Bhaumik, B. et al. | 2006
- 90
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Modeling of LTP-Related Phenomena Using an Artificial Firing CellGrzyb, B. / Bialowas, J. et al. | 2006
- 97
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Time Variant Causality Model Applied in Brain Connectivity Network Based on Event Related PotentialYin, K. / Zhao, X.-J. / Yao, L. et al. | 2006
- 105
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An Electromechanical Neural Network Robotic Model of the Human Body and Brain: Sensory-Motor Control by Reverse Engineering Biological Somatic SensorsRosen, A. / Rosen, D. B. et al. | 2006
- 117
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Sequence Disambiguation by Functionally Divided Hippocampal CA3 ModelSamura, T. / Hattori, M. / Ishizaki, S. et al. | 2006
- 127
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A Time-Dependent Model of Information Capacity of Visual AttentionHou, X. / Zhang, L. et al. | 2006
- 137
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Learning with IncrementalityBouchachia, A. et al. | 2006
- 147
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Lability of Reactivated Human Declarative MemoryTanabe, F. / Mogi, K. et al. | 2006
- 155
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A Neuropsychologically-Inspired Computational Approach to the Generalization of Cerebellar LearningTeddy, S. D. / Lai, E. M.-K. / Quek, C. et al. | 2006
- 165
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A Neural Model for Stereo Transparency with the Population of the Disparity Energy ModelsWatanabe, O. et al. | 2006
- 175
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Functional Connectivity in the Resting Brain: An Analysis Based on ICAWu, X. / Yao, L. / Long, Z.-y. / Lu, J. / Li, K.-c. et al. | 2006
- 183
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Semantic Addressable EncodingLiou, C.-Y. / Huang, J.-C. / Yang, W.-C. et al. | 2006
- 193
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Top-Down Attention Guided Object DetectionTian, M. / Luo, S.-W. / Liao, L.-Z. / Zhao, L.-W. et al. | 2006
- 203
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Absolute Quantification of Brain Creatine Concentration Using Long Echo Time PRESS Sequence with an External Standard and LCModel: Verification with in Vitro HPLC MethodLin, Y. / Zhang, Y. P. / Wu, R. H. / Li, H. / Shen, Z. W. / Chen, X. K. / Huang, K. / Guo, G. et al. | 2006
- 211
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Learning in Neural Network - Unusual Effects of "Artificial Dreams"Tadeusiewicz, R. / Izworski, A. et al. | 2006
- 219
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Spatial Attention in Early Vision Alternates Direction-of-FigureWagatsuma, N. / Sakai, K. et al. | 2006
- 228
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Language Learnability by Feedback Self-Organizing MapsMizushima, F. / Toyoshima, T. et al. | 2006
- 237
-
Text Representation by a Computational Model of ReadingSerrano, J. I. / del Castillo, M. D. et al. | 2006
- 247
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Mental Representation and Processing Involved in Comprehending Korean Regular and Irregular Verb Eojeols: An fMRI and Reaction Time StudyYim, H. / Park, C. / Lim, H. / Nam, K. et al. | 2006
- 255
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Binding Mechanism of Frequency-Specific ITD and IID Information in Sound Localization of Barn OwlMorisawa, H. / Hirayama, D. / Fujita, K. / Kashimori, Y. / Kambara, T. et al. | 2006
- 263
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Effect of Feedback Signals on Tuning Shifts of Subcortical Neurons in Echolocation of BatHirooka, S. / Fujita, K. / Kashimori, Y. et al. | 2006
- 272
-
A Novel Speech Processing Algorithm for Cochlear Implant Based on Selective Fundamental Frequency ControlGuan, T. / Gong, Q. / Ye, D. et al. | 2006
- 280
-
Connectionist Approaches for Predicting Mouse Gene Function from Gene ExpressionShenouda, E. A. / Morris, Q. / Bonner, A. J. et al. | 2006
- 290
-
Semantic Activation and Cortical Areas Related to the Lexical Ambiguity and Idiomatic AmbiguityYu, G. / Kim, C.-M. / Kim, D. H. / Nam, K. et al. | 2006
- 298
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Intelligent System for Automatic Recognition and Evaluation of Speech CommandsKacalak, W. / Majewski, M. et al. | 2006
- 306
-
A New Mechanism on Brain Information Processing-Energy CodingWang, R. / Zhang, Z. et al. | 2006
- 314
-
A Solution to the Curse of Dimensionality Problem in Pairwise Scoring TechniquesMak, M.-W. / Kung, S.-Y. et al. | 2006
- 324
-
First Passage Time Problem for the Ornstein-Uhlenbeck Neuronal ModelLo, C. F. / Chung, T. K. et al. | 2006
- 332
-
Delay-Dependent Exponential Estimates of Stochastic Neural Networks with Time DelayShu, Z. / Lam, J. et al. | 2006
- 342
-
Imbalanced Learning in Relevance Feedback with Biased Minimax Probability Machine for Image Retrieval TasksPeng, X. / King, I. et al. | 2006
- 352
-
Improvement of the Perfect Recall Rate of Block Splitting Type Morphological Associative Memory Using a Majority Logic ApproachSaeki, T. / Miki, T. et al. | 2006
- 361
-
Two Methods for Sparsifying Probabilistic Canonical Correlation AnalysisFyfe, C. / Leen, G. et al. | 2006
- 371
-
Turbo Decoding as an Instance of Expectation Maximization AlgorithmKim, S. et al. | 2006
- 379
-
Dynamical Behaviors of a Large Class of Delayed Differential Systems with Discontinuous Right-Hand SideLu, W. / Chen, T. et al. | 2006
- 387
-
Reinforcement Learning Algorithm with CTRNN in Continuous Action SpaceArie, H. / Namikawa, J. / Ogata, T. / Tani, J. / Sugano, S. et al. | 2006
- 397
-
Entropy Based Associative ModelNakagawa, M. et al. | 2006
- 407
-
Free Energy of Stochastic Context Free Grammar on Variational BayesHosino, T. / Watanabe, K. / Watanabe, S. et al. | 2006
- 417
-
Asymptotic Behavior of Stochastic Complexity of Complete Bipartite Graph-Type Boltzmann MachinesNishiyama, Y. / Watanabe, S. et al. | 2006
- 427
-
Improving VG-RAM Neural Networks Performance Using Knowledge CorrelationCarneiro, R. V. / Dias, S. S. / Fardin, D. / Oliveira, H. / Garcez, A. S. d. / De Souza, A. F. et al. | 2006
- 437
-
The Bifurcating Neuron Network 3 as Coloring Problem Solver and N-Ary Associative MemoryChoi, J. / Lee, G. et al. | 2006
- 447
-
Coupling Adaboost and Random Subspace for Diversified Fisher Linear DiscriminantKong, H. / Wang, J.-G. et al. | 2006
- 457
-
Self-organized Path Constraint Neural Network: Structure and AlgorithmTong, H. / Xiong, L. / Peng, H. et al. | 2006
- 467
-
Gauss Wavelet Chaotic Neural NetworksXu, Y.-q. / Sun, M. / Shen, J.-h. et al. | 2006
- 477
-
Training RBFs Networks: A Comparison Among Supervised and Not Supervised AlgorithmsFernandez-Redondo, M. / Torres-Sospedra, J. / Hernandez-Espinosa, C. et al. | 2006
- 487
-
A Cooperation Online Reinforcement Learning Approach in Ant-QLee, S. et al. | 2006
- 495
-
Soft Analyzer Modeling for Dearomatization Unit Using KPCR with Online Eigenspace DecompositionWang, H. / Pi, D. / Jiang, N. / Ding, S. X. et al. | 2006
- 505
-
A Soft Computing Based Approach for Modeling of Chaotic Time SeriesVajpai, J. / Arun, J. B. et al. | 2006
- 513
-
Predicting Nonstationary Time Series with Multi-scale Gaussian Processes ModelZhou, Y. / Zhang, T. / Li, X. et al. | 2006
- 521
-
Prediction Error of a Fault Tolerant Neural NetworkSum, J. / Leung, C.-s. / Ho, K. et al. | 2006
- 529
-
Delay-Dependent and Delay-Independent Stability Conditions of Delayed Cellular Neural NetworksLiao, W. / Wang, D. / Xu, Y. / Liao, X. et al. | 2006
- 537
-
The Perfect Recalling Rate of Morphological Associative MemoryZhang, K. / Murashima, S. et al. | 2006
- 547
-
Analysis of Dynamics of Cultured Neuronal Networks Using I & F ModelKawana, A. / Tsuzuki, S. / Watanabe, O. et al. | 2006
- 554
-
Convergence Study of Discrete Neural Networks with DelayMa, R.-N. / Bai, G.-Q. et al. | 2006
- 562
-
Convergence of Batch BP Algorithm with Penalty for FNN TrainingWu, W. / Shao, H. / Li, Z. et al. | 2006
- 570
-
New Results for Global Stability of Cohen-Grossberg Neural Networks with Discrete Time DelaysOrman, Z. / Arik, S. et al. | 2006
- 580
-
Global Stability of Cohen-Grossberg Neural Networks with Distributed DelaysZhao, W. / Zhang, H. et al. | 2006
- 591
-
Exponential Stability of Neural Networks with Distributed Time Delays and Strongly Nonlinear Activation FunctionsFu, C. / Wang, Z. et al. | 2006
- 598
-
Global Stability of Bidirectional Associative Memory Neural Networks with Variable Coefficients and S-Type Distributed DelaysKao, Y. / Gao, C. / Wu, L. / Ming, Q. et al. | 2006
- 608
-
Stability Analysis for Higher Order Complex-Valued Hopfield Neural NetworkMishra, D. / Tolambiya, A. / Shukla, A. / Kalra, P. K. et al. | 2006
- 616
-
Mixture of Neural Networks: Some Experiments with the Multilayer Feedforward ArchitectureTorres-Sospedra, J. / Hernandez-Espinosa, C. / Fernandez-Redondo, M. et al. | 2006
- 626
-
Collective Information-Theoretic Competitive Learning: Emergency of Improved Performance by Collectively Treated NeuronsKamimura, R. / Yoshida, F. / Kitajima, R. et al. | 2006
- 634
-
A Fast Bit-Parallel Algorithm for Gapped String KernelsYin, C. / Tian, S. / Mu, S. et al. | 2006
- 642
-
A RBFN Based Cogging Force Estimator of PMLSM with q<1 StructureShao, B. / Cao, Z. / Xu, Y. et al. | 2006
- 650
-
Localized Bayes Estimation for Non-identifiable ModelsTakamatsu, S. / Nakajima, S. / Watanabe, S. et al. | 2006
- 660
-
Optimality of Kernel Density Estimation of Prior Distribution in Bayes NetworkTong, H. / Deng, Y. / Li, Z. et al. | 2006
- 670
-
Learning Hierarchical Bayesian Networks for Large-Scale Data AnalysisHwang, K.-B. / Kim, B.-H. / Zhang, B.-T. et al. | 2006
- 680
-
Learning Bayesian-Neural Network from Mixed-Mode DataWang, L. et al. | 2006
- 688
-
Adaptive Boosting: Dividing the Learning Set to Increase the Diversity and Performance of the EnsembleTorres-Sospedra, J. / Hernandez-Espinosa, C. / Fernandez-Redondo, M. et al. | 2006
- 698
-
Ensemble of Competitive Associative Nets and a Method to Select an Effective Number of UnitsKurogi, S. / Tanaka, S. / Koyama, R. / Nishida, T. et al. | 2006
- 708
-
Using Weighted Combination-Based Methods in Ensembles with Different Levels of DiversityDutra, T. / Canuto, A. M. P. / de Souto, M. C. P. et al. | 2006
- 718
-
Integrated Neural Network Ensemble Algorithm Based on Clustering TechnologyLiu, B. / Hu, C. et al. | 2006
- 721
-
Advances in Self-Organizing MapsCottrell, M. / Verleysen, M. / Otto-Graf-Institut et al. | 2006
- 723
-
Self-organizing neural projectionsKohonen, T. / Otto-Graf-Institut et al. | 2006
- 727
-
The Use of Stability Principle for Kernel Determination in Relevance Vector MachinesKropotov, D. / Vetrov, D. / Ptashko, N. / Vasiliev, O. et al. | 2006
- 734
-
Homeostatic synaptic scaling in self-organizing mapsSullivan, T. J. / de Sa, V. R. / Otto-Graf-Institut et al. | 2006
- 737
-
Adaptive Kernel Leaning Networks with Application to Nonlinear System IdentificationWang, H. / Li, P. / Song, Z. / Ding, S. X. et al. | 2006
- 744
-
Topographic map formation of factorized Edgeworth-expanded kernelsVan Hulle, M. M. / Otto-Graf-Institut et al. | 2006
- 747
-
Probabilistic Kernel Principal Component Analysis Through TimeAlvarez, M. / Henao, R. et al. | 2006
- 751
-
Large-scale data exploration with the hierarchically growing hyperbolic SOMOntrup, J. x. / Ritter, H. / Otto-Graf-Institut et al. | 2006
- 755
-
Confidence Intervals for the Risks of Regression ModelsKoo, I. / Kil, R. M. et al. | 2006
- 762
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Batch and median neural gasCottrell, M. / Hammer, B. / Hasenfuß, A. / Villmann, T. / Otto-Graf-Institut et al. | 2006
- 765
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A Divide-and-Conquer Approach to the Pairwise Opposite Class-Nearest Neighbor (POC-NN) Algorithm for Regression ProblemRaicharoen, T. / Lursinsap, C. / Lin, F. et al. | 2006
- 772
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Fuzzy classification by fuzzy labeled neural gasVillmann, T. / Hammer, B. / Schleif, F. / Geweniger, T. / Herrmann, W. / Otto-Graf-Institut et al. | 2006
- 773
-
A Heuristic Weight-Setting Algorithm for Robust Weighted Least Squares Support Vector RegressionWen, W. / Hao, Z. / Shao, Z. / Yang, X. / Chen, M. et al. | 2006
- 780
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On the equivalence between kernel self-organising maps and self-organising mixture density networksYin, H. / Otto-Graf-Institut et al. | 2006
- 782
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Feature Selection Using SVM Probabilistic OutputsShen, K. Q. / Ong, C. J. / Li, X. P. / Zheng, H. / Wilder-Smith, E. P. V. et al. | 2006
- 785
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Adaptive filtering with the self-organizing map: A performance comparisonBarreto, G. A. / Souza, L. x. / Otto-Graf-Institut et al. | 2006
- 792
-
Unified Kernel Function and Its Training Method for SVMNguyen, H.-N. / Ohn, S.-Y. et al. | 2006
- 799
-
The Self-Organizing Relationship (SOR) network employing fuzzy inference based heuristic evaluationKoga, T. / Horio, K. / Yamakawa, T. / Otto-Graf-Institut et al. | 2006
- 801
-
A Spectrum-Based Support Vector Algorithm for Relational Data Semi-supervised ClassificationLing, P. / Wang, Z. / Zhou, C. et al. | 2006
- 811
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Speeding Up SVM in Test Phase: Application to Radar HRRP ATRChen, B. / Liu, H. / Bao, Z. et al. | 2006
- 812
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SOM’s mathematicsFort, J. C. / Otto-Graf-Institut et al. | 2006
- 817
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Performance analysis of LVQ algorithms: A statistical physics approachGhosh, A. / Biehl, M. / Hammer, B. / Otto-Graf-Institut et al. | 2006
- 819
-
A New Dual v-Support Vector MachineJia, Y. / Wang, Y. et al. | 2006
- 827
-
A Novel Sequential Minimal Optimization Algorithm for Support Vector RegressionGuo, J. / Takahashi, N. / Nishi, T. et al. | 2006
- 830
-
Self-organizing map algorithm and distortion measureRynkiewicz, J. / Otto-Graf-Institut et al. | 2006
- 837
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EUS SVMs: Ensemble of Under-Sampled SVMs for Data Imbalance ProblemsKang, P. / Cho, S. et al. | 2006
- 838
-
Understanding and reducing variability of SOM neighbourhood structureRousset, P. / Guinot, C. / Maillet, B. / Otto-Graf-Institut et al. | 2006
- 847
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Assessing self organizing maps via contiguity analysisLebart, L. / Otto-Graf-Institut et al. | 2006
- 847
-
A Improved SVM and Its Using in Electric Power System Load ForecastingWang, J. / Ren, G. et al. | 2006
- 855
-
Fast algorithm and implementation of dissimilarity self-organizing mapsConan-Guez, B. / Rossi, F. / El Golli, A. x. / Otto-Graf-Institut et al. | 2006
- 856
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Support Vector Machine Tree Based on Feature SelectionXu, Q. / Pei, W. / Yang, L. / He, Z. et al. | 2006
- 864
-
A Competitive Co-evolving Support Vector ClusteringJun, S.-H. / Oh, K.-W. et al. | 2006
- 864
-
Graph-based normalization and whitening for non-linear data analysisAaron, C. / Otto-Graf-Institut et al. | 2006
- 874
-
Fuzzy Probability C-Regression Estimation Based on Least Squares Support Vector MachineSun, Z. et al. | 2006
- 877
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Unfolding preprocessing for meaningful time series clusteringSimon, G. / Lee, J. A. / Verleysen, M. / Otto-Graf-Institut et al. | 2006
- 882
-
Filtering E-Mail Based on Fuzzy Support Vector Machines and Aggregation OperatorYang, J. / Peng, H. / Pei, Z. et al. | 2006
- 889
-
Local multidimensional scalingVenna, J. / Kaski, S. / Otto-Graf-Institut et al. | 2006
- 892
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A Distributed Support Vector Machines Architecture for Chaotic Time Series PredictionCheng, J. / Qian, J.-s. / Guo, Y.-n. et al. | 2006
- 900
-
Spherical self-organizing map using efficient indexed geodesic data structureWu, Y. / Takatsuka, M. / Otto-Graf-Institut et al. | 2006
- 900
-
Nonlinear Noise Reduction of Chaotic Time Series Based on Multi-dimensional Recurrent Least Squares Support Vector MachinesSun, J. / Zhou, Y. / Bai, Y. / Luo, J. et al. | 2006
- 907
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Self-Organizing Map with Input Data Represented as GraphYamakawa, T. / Horio, K. / Hoshino, M. et al. | 2006
- 911
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Advanced visualization of Self-Organizing Maps with vector fieldsPölzlbauer, G. / Dittenbach, M. / Rauber, A. / Otto-Graf-Institut et al. | 2006
- 915
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Semi-supervised Learning of Dynamic Self-Organising MapsHsu, A. / Halgamuge, S. K. et al. | 2006
- 923
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Online data visualization using the neural gas networkEstévez, P. A. / Figueroa, C. x. / Otto-Graf-Institut et al. | 2006
- 925
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Self-organizing by Information Maximization: Realizing Self-Organizing Maps by Information-Theoretic Competitive LearningKamimura, R. et al. | 2006
- 935
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TreeSOM: Cluster analysis in the self-organizing mapSamsonova, E. V. / Kok, J. N. / IJzerman, A. P. / Otto-Graf-Institut et al. | 2006
- 935
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An Online Adaptation Control System Using mnSOMNishida, S. / Ishii, K. / Furukawa, T. et al. | 2006
- 943
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Generalization of the Self-Organizing Map: From Artificial Neural Networks to Artificial CortexesFurukawa, T. / Tokunaga, K. et al. | 2006
- 950
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SOM of SOMs: An Extension of SOM from `Map' to `Homotopy'Furukawa, T. et al. | 2006
- 950
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Self-organizing neural networks to support the discovery of DNA-binding motifsMahony, S. / Benos, P. V. / Smith, T. J. / Golden, A. / Otto-Graf-Institut et al. | 2006
- 958
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Modular Network SOM: Theory, Algorithm and ApplicationsTokunaga, K. / Furukawa, T. et al. | 2006
- 963
-
A descriptive method to evaluate the number of regimes in a switching autoregressive modelOlteanu, M. / Otto-Graf-Institut et al. | 2006
- 968
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Evaluation-Based Topology Representing Network for Accurate Learning of Self-Organizing Relationship NetworkYamakawa, T. / Horio, K. / Tanaka, T. et al. | 2006
- 978
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Adaptively Incremental Self-organizing Isometric EmbeddingHou, Y. / Gong, K. / He, P. et al. | 2006
- 987
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An Extended Model on Self-Organizing MapYang, S. / Luo, S. / Li, J. et al. | 2006
- 995
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A New SOM Algorithm for Electricity Load ForecastingMartin-Merino, M. / Roman, J. et al. | 2006
- 1004
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ART-Based Parallel Learning of Growing SOMs and Its Application to TSPOshime, T. / Saito, T. / Torikai, H. et al. | 2006
- 1012
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Smooth Seamless Surface Construction Based on Conformal Self-organizing MapLiou, C.-Y. / Kuo, Y.-T. / Huang, J.-C. et al. | 2006
- 1022
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Consumer's Purchasing Behavior Analysis Based on the Self-Organizing Feature Map Neural Network Algorithm in E-Supply ChainHuang, L. et al. | 2006
- 1030
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Pattern Discovery from Time Series Using Growing Hierarchical Self-Organizing MapLiu, S. / Lu, L. / Liao, G. / Xuan, J. et al. | 2006
- 1038
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K-Hyperplanes Clustering and Its Application to Sparse Component AnalysisHe, Z. / Cichocki, A. / Xie, S. et al. | 2006
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Region of Interest Based Independent Component AnalysisKeck, I. R. / Churan, J. / Theis, F. J. / Gruber, P. / Lang, E. W. / Puntonet, C. G. et al. | 2006
- 1058
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Variational Bayesian Method for Temporally Correlated Source SeparationHuang, Q. / Yang, J. / Zhou, Y. et al. | 2006
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Newton-Like Methods for Nonparametric Independent Component AnalysisShen, H. / Huper, K. / Smola, A. J. et al. | 2006
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A Hybrid Blind Signal Separation Algorithm: Particle Swarm Optimization on Feed-Forward Neural NetworkLiu, C.-C. / Sun, T.-Y. / Hsieh, S.-T. / Lin, C.-L. / Lee, K.-Y. et al. | 2006
- 1088
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Constrained ICA Based Ballistocardiogram and Electro-Oculogram Artifacts Removal from Visual Evoked Potential EEG Signals Measured Inside MRIRasheed, T. / In, M. H. / Lee, Y.-K. / Lee, S. / Lee, S. Y. / Kim, T.-S. et al. | 2006
- 1098
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Monotonic Convergence of a Nonnegative ICA Algorithm on Stiefel ManifoldYe, M. / Fan, X. / Liu, Q. et al. | 2006
- 1107
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Exterior Penalty Function Method Based ICA Algorithm for Hybrid Sources Using GKNN EstimationWang, F. / Li, H. / Li, R. et al. | 2006
- 1117
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Denoising by Anisotropic Diffusion of Independent Component CoefficientsLuo, Y. / Tao, C. / Qiang, X. / Zeng, X. et al. | 2006
- 1125
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Blind Separation of Digital Signal Sources in Noise CircumstanceTan, B. / Li, X. et al. | 2006
- 1133
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Performance Evaluation of Directionally Constrained Filterbank ICA on Blind Source Separation of Noisy ObservationsDhir, C. S. / Park, H.-M. / Lee, S.-Y. et al. | 2006