Table of Contents

• Adaptive Hopfield NetworkGürsel Serpen. 3-10 [doi]
• Effective Pruning Method for a Multiple Classifier System Based on Self-Generating Neural NetworksHirotaka Inoue, Hiroyuki Narihisa. 11-18 [doi]
• Structural Bias in Inducing Representations for Probabilistic Natural Language ParsingJames Henderson. 19-26 [doi]
• Independent Component Analysis Minimizing Convex DivergenceYasuo Matsuyama, Naoto Katsumata, Ryo Kawamura. 27-34 [doi]
• Selecting Salient Features for Classification CommitteesAntanas Verikas, Marija Bacauskiene, Kerstin Malmqvist. 35-42 [doi]
• Fast and Efficient Training of RBF NetworksOliver Buchtala, Alexander Hofmann, Bernhard Sick. 43-51 [doi]
• Loading Temporal Associative Memory Using the Neuronic EquationCheng-Yuan Liou, Un-Cheong Sou. 52-59 [doi]
• Learning Compatibility Functions for Feature Binding and Perceptual GroupingSebastian Weng, Jochen J. Steil. 60-67 [doi]
• Differential ICASeungjin Choi. 68-75 [doi]
• A Comparison of Model Aggregation Methods for RegressionZafer Barutçuoglu. 76-83 [doi]
• Linear Least-Squares Based Methods for Neural Networks LearningOscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique Castillo. 84-91 [doi]
• Optimal Hebbian Learning: A Probabilistic Point of ViewJean-Pascal Pfister, David Barber, Wulfram Gerstner. 92-98 [doi]
• Competitive Learning by Information Maximization: Eliminating Dead Neurons in Competitive LearningRyotaro Kamimura. 99-106 [doi]
• Approximate Learning in Temporal Hidden Hopfield ModelsFelix V. Agakov, David Barber. 107-114 [doi]
• Finite Mixture Model of Bounded Semi-naive Bayesian Networks ClassifierKaizhu Huang, Irwin King, Michael R. Lyu. 115-122 [doi]
• System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement LearningJunichiro Yoshimoto, Shin Ishii, Masa-aki Sato. 123-131 [doi]
• Dimension Reduction Based on Orthogonality - A Decorrelation Method in ICAKun Zhang, Lai-Wan Chan. 132-139 [doi]
• Selective Sampling Methods in One-Class Classification ProblemsPiotr Juszczak, Robert P. W. Duin. 140-148 [doi]
• Learning Distributed Representations of High-Arity Relational Data with Non-linear Relational EmbeddingAlberto Paccanaro. 149-156 [doi]
• Meta-learning for Fast Incremental LearningTakayuki Oohira, Koichiro Yamauchi, Takashi Omori. 157-164 [doi]
• Expectation-MiniMax Approach to Clustering AnalysisYiu-ming Cheung. 165-172 [doi]
• Formal Determination of Context in Contextual Recursive Cascade Correlation NetworksAlessio Micheli, Diego Sona, Alessandro Sperduti. 173-180 [doi]
• Confidence Estimation Using the Incremental Learning Algorithm, Learn++Jeffrey Byorick, Robi Polikar. 181-188 [doi]
• Stability and Convergence Analysis of a Neural Model Applied in Nonlinear Systems OptimizationIvan Nunes da Silva. 189-200 [doi]
• Generalization Error Analysis for Polynomial Kernel Methods - Algebraic Geometrical ApproachKazushi Ikeda. 201-208 [doi]
• Regularized Kriging: The Support Vectors Method Applied to KrigingJosé M. Matías, Wenceslao González-Manteiga. 209-216 [doi]
• Support Vector Machine Classifiers for Asymmetric ProximitiesAlberto Muñoz, Isaac Martín de Diego, Javier M. Moguerza. 217-224 [doi]
• Fuzzy Model Identification Using Support Vector Clustering MethodAysegül Uçar, Yakup Demir, Cüneyt Güzelis. 225-233 [doi]
• Human Splice Site Identification with Multiclass Support Vector Machines and BaggingAna Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho. 234-244 [doi]
• Optimizing Property Codes in Protein Data Reveals Structural CharacteristicsOlaf Weiss, Andreas Ziehe, Hanspeter Herzel. 245-252 [doi]
• Multicategory Bayesian Decision Using a Three-Layer Neural NetworkYoshifusa Ito, Cidambi Srinivasan. 253-261 [doi]
• Integrating Supervised and Unsupervised Learning in Self Organizing Maps for Gene Expression Data AnalysisSeferina Mavroudi, Andrei Dragomir, Stergios Papadimitriou, Anastasios Bezerianos. 262-270 [doi]
• Prior Hyperparameters in Bayesian PCAShigeyuki Oba, Masa-aki Sato, Shin Ishii. 271-279 [doi]
• Relevance and Kernel Self-Organising MapsEmilio Corchado, Colin Fyfe. 280-290 [doi]
• Hierarchical Bayesian Network for Handwritten Digit RecognitionJaeMo Sung, Sung Yang Bang. 291-298 [doi]
• A Novel Neural Network Approach to Solve Exact and Inexact Graph Isomorphism ProblemsBrijnesh J. Jain, Fritz Wysotzki. 299-306 [doi]
• Evolutionary Optimisation of RBF Network Architectures in a Direct Marketing ApplicationPeter Neumann, Bernhard Sick, Dirk Arndt, Wendy Gersten. 307-315 [doi]
• Intrusion Detection in Computer Networks with Neural and Fuzzy ClassifiersAlexander Hofmann, Carsten Schmitz, Bernhard Sick. 316-324 [doi]
• Optimal Matrix Compression Yields Storage Capacity 1 for Binary Willshaw Associative MemoryAndreas Knoblauch. 325-332 [doi]
• Supervised Locally Linear EmbeddingDick de Ridder, Olga Kouropteva, Oleg Okun, Matti Pietikäinen, Robert P. W. Duin. 333-341 [doi]
• Feature Extraction for One-Class ClassificationDavid M. J. Tax, Klaus-Robert Müller. 342-349 [doi]
• Auto-adaptive and Dynamical Clustering Neural NetworkStéphane Lecoeuche, Christophe Lurette. 350-358 [doi]
• Transformations of Symbolic Data for Continuous Data Oriented ModelsKrzysztof Grabczewski, Norbert Jankowski. 359-366 [doi]
• Comparing Fuzzy Data Sets by Means of Graph Matching TechniqueGiuseppe Acciani, Girolamo Fornarelli, Luciano Liturri. 367-374 [doi]
• How to Do Multi-way Classification with Two-Way ClassifiersFlorin Cutzu. 375-384 [doi]
• Sparse Coding with Invariance ConstraintsHeiko Wersing, Julian Eggert, Edgar Körner. 385-392 [doi]
• Restoring Partly Occluded Patterns: A Neural Network Model with Backward PathsKunihiko Fukushima. 393-400 [doi]
• The InfoMin Criterion: An Information Theoretic Unifying Objective Function for Topographic MappingsYoshitatsu Matsuda, Kazunori Yamaguchi. 401-408 [doi]
• Short-Term Memory Optical Flow ImageSatoru Morita. 409-416 [doi]
• A Hybrid MLP-PNN Architecture for Fast Image SuperresolutionCarlos Miravet, Francisco de Borja Rodríguez. 417-424 [doi]
• Recognition of Gestural Object Reference with Auditory FeedbackIngo Bax, Holger Bekel, Gunther Heidemann. 425-432 [doi]
• Multi-chip Implementation of a Biomimetic VLSI Vision Sensor Based on the Adelson-Bergen AlgorithmErhan Ozalevli, Charles M. Higgins. 433-442 [doi]
• Client Dependent GMM-SVM Models for Speaker VerificationQuan Le, Samy Bengio. 443-451 [doi]
• Frequency and Wavelet Filtering for Robust Speech RecognitionMurat Deviren, Khalid Daoudi. 452-462 [doi]
• Unsupervised Learning of a Kinematic Arm ModelHeiko Hoffmann, Ralf Möller. 463-470 [doi]
• A Design of CMAC Based Intelligent PID ControllersToru Yamamoto, Ryota Kurozumi, Shoichiro Fujisawa. 471-478 [doi]
• Learning to Control at Multiple Time ScalesRalf Schoknecht, Martin A. Riedmiller. 479-487 [doi]
• The Evolution of Modular Artificial Neural Networks for Legged Robot ControlSethuraman Muthuraman, Grant M. Maxwell, Christopher MacLeod. 488-495 [doi]
• Dimensionality Reduction through Sensory-Motor CoordinationI. René J. A. te Boekhorst, Max Lungarella, Rolf Pfeifer. 496-503 [doi]
• Learning Localisation Based on Landmarks Using Self-OrganisationKaustubh Chokshi, Stefan Wermter, Cornelius Weber. 504-514 [doi]
• Spatial Independent Component Analysis of Multitask-Related Activation in fMRI DataZhi-ying Long, Li Yao, Xiao-jie Zhao, Liu-qing Pei, Gui Xue, Qi Dong, Dan-ling Peng. 515-522 [doi]
• Closed Loop Stability of FIR-Recurrent Neural NetworksAlex Aussem. 523-529 [doi]
• Selective Noise Cancellation Using Independent Component AnalysisJun-il Sohn, Minho Lee. 530-537 [doi]
• Expert Mixture Methods for Adaptive Channel EqualizationEdward Harrington. 538-545 [doi]
• A Relaxation Algorithm Influenced by Self-Organizing MapsMichiharu Maeda. 546-553 [doi]
• A Gradient Network for Vector Quantization and Its Image Compression ApplicationsHatice Dogan, Cüneyt Güzelis. 554-561 [doi]
• Multi-scale Switching Linear Dynamical SystemsOnno Zoeter, Tom Heskes. 562-572 [doi]
• Model Selection with Cross-Validations and Bootstraps - Application to Time Series Prediction with RBFN ModelsAmaury Lendasse, Vincent Wertz, Michel Verleysen. 573-580 [doi]
• A Hybrid Neural Architecture and Its Application to Temperature PredictionSrimanta Pal, Jyotirmay Das, Kausik Kumar Majumdar. 581-588 [doi]
• Risk Management Application of the Recurrent Mixture Density Network ModelsTatiana Miazhynskaia, Georg Dorffner, Engelbert J. Dockner. 589-596 [doi]
• Hierarchical Mixtures of Autoregressive Models for Time-Series ModelingCarmen Vidal, Alberto Suárez. 597-606 [doi]
• A Simple Constructing Approach to Build P2P Global Computing Overlay NetworkWen Dou, Yan Jia, Zhong Liu, Peng Zou. 607-614 [doi]
• Option Pricing with the Product Constrained Hybrid Neural NetworkPaul Lajbcygier. 615-621 [doi]
• Self-Organizing Operator Maps in Complex System AnalysisPasi Lehtimäki, Kimmo Raivio, Olli Simula. 622-629 [doi]
• Optimization of a Microwave Amplifier Using Neural Performance Data Sheets with Genetic AlgorithmsFiliz Günes, Yavuz Cengiz. 630-637 [doi]
• Adaptive Stochastic Classifier for Noisy pH-ISFET MeasurementsTong Boon Tang, Hsin Chen, Alan F. Murray. 638-645 [doi]
• Comparing Support Vector Machines, Recurrent Networks, and Finite State Transducers for Classifying Spoken UtterancesSheila Garfield, Stefan Wermter. 646-653 [doi]
• Selecting and Ranking Time Series Models Using the NOEMON ApproachRicardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir. 654-661 [doi]
• Optimization of the Deflection Basin by Genetic Algorithm and Neural Network ApproachSerdal Terzi, Mehmet Saltan, Tülay Yildirim. 662-669 [doi]
• Inversion of a Neural Network via Interval Arithmetic for Rule ExtractionCarlos Hernández-Espinosa, Mercedes Fernández-Redondo, Mamen Ortiz-Gómez. 670-677 [doi]
• Implementation of Visual Attention System Using Bottom-up Saliency Map ModelSang-Jae Park, Sang-Woo Ban, Jang-Kyoo Shin, Minho Lee. 678-685 [doi]
• A Self-Growing Probabilistic Decision-Based Neural Network for Anchor/Speaker IdentificationY. H. Chen, C.-L. Tseng, Hsin-Chia Fu, Hsiao-Tien Pao. 686-694 [doi]
• Unsupervised Clustering Methods for Medical Data: An Application to Thyroid Gland DataSongül Albayrak. 695-701 [doi]
• Protein Sequence Classification Using Probabilistic Motifs and Neural NetworksKonstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas. 702-709 [doi]
• On a Dynamic Wavelet Network and Its Modeling ApplicationYasar Becerikli, Yusuf Oysal, Ahmet Ferit Konar. 710-720 [doi]
• Low Power Digital Neuron for SOM ImplementationsRoberta Cambio, David C. Hendry. 721-728 [doi]
• Direction Selective Two-Dimensional Analog Circuits Using Biomedical Vision ModelMasashi Kawaguchi, Kazuyuki Kondo, Takashi Jimbo, Masayoshi Umeno. 729-736 [doi]
• Review of Capacitive Threshold Gate ImplementationsValeriu Beiu, Maria J. Avedillo, José M. Quintana. 737-744 [doi]
• Constructive Threshold Logic Addition A Synopsis of the Last DecadeValeriu Beiu. 745-752 [doi]
• CrossNets: Neuromorphic Networks for Nanoelectronic ImplementationÖzgür Türel, Konstantin Likharev. 753-762 [doi]
• The Acquisition of New Categories through Grounded Symbols: An Extended Connectionist ModelAlberto Greco, Thomas Riga, Angelo Cangelosi. 763-770 [doi]
• A Neural Model of Binding and Capacity in Visual Working MemoryGwendid T. van der Voort van der Kleij, Marc de Kamps, Frank van der Velde. 771-778 [doi]
• Neural Network: Input Anticipation May Lead to Advanced Adaptation PropertiesAndrei Kursin. 779-785 [doi]
• Acceleration of Game Learning with Prediction-Based Reinforcement Learning - Toward the Emergence of Planning BehaviorYu Ohigashi, Takashi Omori, Koji Morikawa, Natsuki Oka. 786-796 [doi]
• The Interaction of Recurrent Axon Collateral Networks in the Basal GangliaMark D. Humphries, Tony J. Prescott, Kevin N. Gurney. 797-804 [doi]
• Optimal Coding for Naturally Occurring Whisker DeflectionsVerena Vanessa Hafner, Miriam Fend, Max Lungarella, Rolf Pfeifer, Peter König, Konrad P. Körding. 805-812 [doi]
• Object Localisation Using Laterally Connected What and Where Associator NetworksCornelius Weber, Stefan Wermter. 813-820 [doi]
• Influence of Membrane Warp on Pulse Propagation TimeAkira Hirose, Toshihiko Hamano. 821-829 [doi]
• Detailed Learning in Narrow Fields - Towards a Neural Network Model of AutismAndrew P. Paplinski, Lennart Gustafsson. 830-838 [doi]
• Online Processing of Multiple Inputs in a Sparsely-Connected Recurrent Neural NetworkJulien Mayor, Wulfram Gerstner. 839-845 [doi]
• The Spike Response Model: A Framework to Predict Neuronal Spike TrainsRenaud Jolivet, Timothy J. Lewis, Wulfram Gerstner. 846-853 [doi]
• Roles of Motion and Form in Biological Motion RecognitionAntonino Casile, Martin A. Giese. 854-866 [doi]
• Improving the Performance of Resource Allocation Networks through Hierarchical Clustering of High-Dimensional DataNicolas Tsapatsoulis, Manolis Wallace, Stathis Kasderidis. 867-874 [doi]
• Learning Rule Representations from Boolean DataBruno Apolloni, Andrea Brega, Dario Malchiodi, Giorgio Palmas, Anna Maria Zanaboni. 875-882 [doi]
• Weighted Self-Organizing Maps: Incorporating User FeedbackAndreas Nürnberger, Marcin Detyniecki. 883-890 [doi]
• Classification and Tracking of Hypermedia Navigation PatternsPatrick Gallinari, Sylvain Bidel, Laurent Lemoine, Frédéric Piat, Thierry Artières. 891-900 [doi]
• Self-Aware Networks and Quality of ServiceErol Gelenbe, Arturo Núñez. 901-908 [doi]
• Drawing Attention to the DangerousStathis Kasderidis, John G. Taylor, Nicolas Tsapatsoulis, Dario Malchiodi. 909-916 [doi]
• ASK - Acquisition of Semantic KnowledgeTrevor P. Martin. 917-924 [doi]
• An Adaptable Gaussian Neuro-Fuzzy ClassifierMinas Pertselakis, Dimitrios S. Frossyniotis, Andreas Stafylopatis. 925-932 [doi]
• Knowledge Refinement Using Fuzzy Compositional Neural NetworksVassilis Tzouvaras, Giorgos B. Stamou, Stefanos D. Kollias. 933-942 [doi]
• Phase Singular Points Reduction by a Layered Complex-Valued Neural Network in Combination with Constructive Fourier SynthesisMotoi Minami, Akira Hirose. 943-950 [doi]
• Quantum Adiabatic Evolution Algorithm for a Quantum Neural NetworkMitsunaga Kinjo, Shigeo Sato, Koji Nakajima. 951-958 [doi]
• Adaptive Beamforming by Using Complex-Valued Multi Layer PerceptronAndriyan Bayu Suksmono, Akira Hirose. 959-966 [doi]
• A Complex-Valued Spiking MachineGilles Vaucher. 967-976 [doi]
• The Behavior of the Network Consisting of Two Complex-Valued Nagumo-Sato NeuronsIku Nemoto. 977-984 [doi]
• On Activation Functions for Complex-Valued Neural Networks - Existence of Energy FunctionsYasuaki Kuroe, Mitsuo Yoshida, Takehiro Mori. 985-992 [doi]
• The Computational Power of Complex-Valued NeuronTohru Nitta. 993-1002 [doi]
• Recommendation Models for User Accesses to Web PagesSule Gündüz, M. Tamer Özsu. 1003-1010 [doi]
• A Spectral-Spatial Classification Algorithm for Multispectral Remote Sensing DataHakan Karakahya, Bingül Yazgan, Okan K. Ersoy. 1011-1017 [doi]
• Neural Network Based Material Identification and Part Thickness Estimation from Two Radiographic ImagesIbrahim N. Tansel, Reen Nripjeet Singh, Peng Chen, Claudia V. Kropas-Hughes. 1018-1025 [doi]
• Selection of Optimal Cutting Conditions by Using the Genetically Optimized Neural Network System (GONNS)W. Y. Bao, Peng Chen, Ibrahim N. Tansel, N. S. Reen, S. Y. Yang, D. Rincon. 1026-1032 [doi]
• Building RBF Neural Network Topology through Potential FunctionsNatacha Gueorguieva, Iren Valova. 1033-1040 [doi]
• Use of Magnetomyographic (MMG) Signals to Calculate the Dependency Properties of the Active Sensors in Myometrial Activity MonitoringCoskun Bayrak, Z. Chen, Jonathan Norton, Hubert Preissl, Curtis Lowery, Hari Eswaran, James D. Wilson. 1041-1048 [doi]
• Speed Enhancement with Soft Computing HardwareTaher Daud, Ricardo Salem Zebulum, Tuan A. Duong, Ian Ferguson, Curtis Padgett, Adrian Stoica, Anil Thakoor. 1049-1056 [doi]
• Neural Networks Applied to Electromagnetic Compatibility (EMC) SimulationsHüseyin Göksu, Donald C. Wunsch II. 1057-1063 [doi]
• Sliding Mode Algorithm for Online Learning in Analog Multilayer Feedforward Neural NetworksNikola G. Shakev, Andon V. Topalov, Okyay Kaynak. 1064-1072 [doi]
• Exploring Protein Functional Relationships Using Genomic Information and Data Mining TechniquesJack Y. Yang, Mary Qu Yang, Okan K. Ersoy. 1073-1080 [doi]
• Predicting Bad Credit Risk: An Evolutionary ApproachSusan E. Bedingfield, Kate A. Smith. 1081-1088 [doi]
• Indirect Differentiation of Function for a Network of Biologically Plausible NeuronsAmber D. Fischer, Cihan H. Dagli. 1089-1099 [doi]
• Application of Vision Models to Traffic Sign RecognitionX. W. Gao, L. Podladchikova, D. Shaposhnikov. 1100-1105 [doi]
• An Intelligent Scheme for Facial Expression RecognitionAmaryllis Raouzaiou, Spiros Ioannou, Kostas Karpouzis, Nicolas Tsapatsoulis, Stefanos D. Kollias, Roddy Cowie. 1109-1116 [doi]
• Signal Enhancement for Continuous Speech RecognitionTheologos Athanaselis, Stavroula-Evita Fotinea, Stelios Bakamidis, Ioannis Dologlou, Georgios Giannopoulos. 1117-1124 [doi]
• Emotion in Speech: Towards an Integration of Linguistic, Paralinguistic, and Psychological AnalysisStavroula-Evita Fotinea, Stelios Bakamidis, Theologos Athanaselis, Ioannis Dologlou, George Carayannis, Roddy Cowie, Ellen Douglas-Cowie, Nickolaos F. Fragopanagos, John G. Taylor. 1125-1132 [doi]
• An Emotional Recognition Architecture Based on Human Brain StructureJohn G. Taylor, Nickolaos F. Fragopanagos, Roddy Cowie, Ellen Douglas-Cowie, Stavroula-Evita Fotinea, Stefanos D. Kollias. 1133-1142 [doi]
• Neural Network Ensemble with Negatively Correlated Features for Cancer ClassificationHong-Hee Won, Sung-Bae Cho. 1143-1150 [doi]
• Feature Analysis and Classification of Protein Secondary Structure DataS. Y. M. Shi, Ponnuthurai N. Suganthan. 1151-1158 [doi]
• Recognition of Structure Classification of Protein Folding by NN and SVM Hierarchical Learning ArchitectureI-Fang Chung, Chuen-Der Huang, Ya-Hsin Shen, Chin-Teng Lin. 1159-1167 [doi]
• Machine Learning for Multi-class Protein Fold Classification Based on Neural Networks with Feature GatingChuen-Der Huang, I-Fang Chung, Nikhil R. Pal, Chin-Teng Lin. 1168-1175 [doi]
• Some New Features for Protein Fold PredictionNikhil R. Pal, Debrup Chakraborty. 1176-1183 [doi]