Abstract is missing.
- Generalization Error of Automatic Relevance DeterminationShinichi Nakajima, Sumio Watanabe. 1-10 [doi]
- On a Singular Point to Contribute to a Learning Coefficient and Weighted Resolution of SingularitiesTakeshi Matsuda, Sumio Watanabe. 11-18 [doi]
- Improving the Prediction Accuracy of Echo State Neural Networks by Anti-Oja s LearningStefan Babinec, Jiri Pospichal. 19-28 [doi]
- Theoretical Analysis of Accuracy of Gaussian Belief PropagationYu Nishiyama, Sumio Watanabe. 29-38 [doi]
- Relevance Metrics to Reduce Input Dimensions in Artificial Neural NetworksHéctor F. Satizábal, Andrés Pérez-Uribe. 39-48 [doi]
- An Improved Greedy Bayesian Network Learning Algorithm on Limited DataFeng Liu, Fengzhan Tian, QiLiang Zhu. 49-57 [doi]
- Incremental One-Class Learning with Bounded Computational ComplexityRowland R. Sillito, Robert B. Fisher. 58-67 [doi]
- Estimating the Size of Neural Networks from the Number of Available Training DataGeorgios Lappas. 68-77 [doi]
- A Maximum Weighted Likelihood Approach to Simultaneous Model Selection and Feature Weighting in Gaussian MixtureYiu-ming Cheung, Hong Zeng. 78-87 [doi]
- Estimation of Poles of Zeta Function in Learning Theory Using Padé ApproximationRyosuke Iriguchi, Sumio Watanabe. 88-97 [doi]
- Neural Network Ensemble Training by Sequential InteractionM. A. H. Akhand, Kazuyuki Murase. 98-108 [doi]
- Improving Optimality of Neural Rewards Regression for Data-Efficient Batch Near-Optimal Policy IdentificationDaniel Schneegaß, Steffen Udluft, Thomas Martinetz. 109-118 [doi]
- Structure Learning with Nonparametric Decomposable ModelsAnton Schwaighofer, Mathäus Dejori, Volker Tresp, Martin Stetter. 119-128 [doi]
- Recurrent Bayesian Reasoning in Probabilistic Neural NetworksJiri Grim, Jan Hora. 129-138 [doi]
- Resilient Approximation of Kernel ClassifiersThorsten Suttorp, Christian Igel. 139-148 [doi]
- Incremental Learning of Spatio-temporal Patterns with Model SelectionKoichiro Yamauchi, Masayoshi Sato. 149-158 [doi]
- Accelerating Kernel Perceptron LearningDaniel García, Ana M. González, José R. Dorronsoro. 159-168 [doi]
- Analysis and Comparative Study of Source Separation Performances in Feed-Forward and Feed-Back BSSs Based on Propagation Delays in Convolutive MixtureAkihide Horita, Kenji Nakayama, Akihiro Hirano. 169-179 [doi]
- Learning Highly Non-separable Boolean Functions Using Constructive Feedforward Neural NetworkMarek Grochowski, Wlodzislaw Duch. 180-189 [doi]
- A Fast Semi-linear Backpropagation Learning AlgorithmBertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Paula Fraguela. 190-198 [doi]
- Improving the GRLVQ Algorithm by the Cross Entropy MethodAbderrahmane Boubezoul, Sébastien Paris, Mustapha Ouladsine. 199-208 [doi]
- Incremental and Decremental Learning for Linear Support Vector MachinesEnrique Romero, Ignacio Barrio, Lluís Belanche. 209-218 [doi]
- An Efficient Method for Pruning the Multilayer Perceptron Based on the Correlation of ErrorsCláudio M. S. Medeiros, Guilherme De A. Barreto. 219-228 [doi]
- Reinforcement Learning for Cooperative Actions in a Partially Observable Multi-agent SystemYuki Taniguchi, Takeshi Mori, Shin Ishii. 229-238 [doi]
- Input Selection for Radial Basis Function Networks by Constrained OptimizationJarkko Tikka. 239-248 [doi]
- An Online Backpropagation Algorithm with Validation Error-Based Adaptive Learning RateStefan Duffner, Christophe Garcia. 249-258 [doi]
- Adaptive Self-scaling Non-monotone BFGS Training Algorithm for Recurrent Neural NetworksChun-Cheng Peng, George D. Magoulas. 259-268 [doi]
- Some Properties of the Gaussian Kernel for One Class LearningPaul F. Evangelista, Mark J. Embrechts, Boleslaw K. Szymanski. 269-278 [doi]
- Improved SOM Learning Using Simulated AnnealingAntonino Fiannaca, Giuseppe Di Fatta, Salvatore Gaglio, Riccardo Rizzo, Alfonso Urso. 279-288 [doi]
- The Usage of Golden Section in Calculating the Efficient Solution in Artificial Neural Networks Training by Multi-objective OptimizationRoselito de Albuquerque Teixeira, Antônio de Pádua Braga, Rodney R. Saldanha, Ricardo H. C. Takahashi, Talles Henrique de Medeiros. 289-298 [doi]
- Designing Modular Artificial Neural Network Through EvolutionEva Volná. 299-308 [doi]
- Averaged Conservative Boosting: Introducing a New Method to Build Ensembles of Neural NetworksJoaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo. 309-318 [doi]
- Selection of Decision Stumps in Bagging EnsemblesGonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez. 319-328 [doi]
- An Ensemble Dependence MeasureMatthew Prior, Terry Windeatt. 329-338 [doi]
- Boosting Unsupervised Competitive Learning EnsemblesEmilio Corchado, Bruno Baruque, Hujun Yin. 339-348 [doi]
- Using Fuzzy, Neural and Fuzzy-Neural Combination Methods in Ensembles with Different Levels of DiversityAnne M. P. Canuto, Marjory C. C. Abreu. 349-359 [doi]
- SpikeStream: A Fast and Flexible Simulator of Spiking Neural NetworksDavid Gamez. 360-369 [doi]
- Evolutionary Multi-objective Optimization of Spiking Neural NetworksYaochu Jin, Ruojing Wen, Bernhard Sendhoff. 370-379 [doi]
- Building a Bridge Between Spiking and Artificial Neural NetworksFlorian Kaiser, Fridtjof Feldbusch. 380-389 [doi]
- Clustering of Nonlinearly Separable Data Using Spiking Neural NetworksLakshmi Narayana Panuku, C. Chandra Sekhar. 390-399 [doi]
- Implementing Classical Conditioning with Spiking NeuronsChong Liu, Jonathan Shapiro. 400-410 [doi]
- Deformable Radial Basis FunctionsWolfgang Hübner, Hanspeter A. Mallot. 411-420 [doi]
- Selection of Basis Functions Guided by the L2 Soft MarginIgnacio Barrio, Enrique Romero, Lluís Belanche. 421-430 [doi]
- Extended Linear Models with Gaussian Prior on the Parameters and Adaptive Expansion VectorsIgnacio Barrio, Enrique Romero, Lluís Belanche. 431-440 [doi]
- Functional Modelling of Large Scattered Data Sets Using Neural NetworksQinggang Meng, Baihua Li, Nicholas Costen, Horst Holstein. 441-449 [doi]
- Stacking MF Networks to Combine the Outputs Provided by RBF NetworksJoaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo. 450-459 [doi]
- Neural Network Processing for Multiset DataSimon McGregor. 460-470 [doi]
- The Introduction of Time-Scales in Reservoir Computing, Applied to Isolated Digits RecognitionBenjamin Schrauwen, Jeroen Defour, David Verstraeten, Jan M. Van Campenhout. 471-479 [doi]
- Partially Activated Neural Networks by Controlling InformationRyotaro Kamimura. 480-489 [doi]
- CNN Based Hole Filler Template Design Using Numerical Integration TechniquesK. Murugesan, P. Elango. 490-500 [doi]
- Impact of Shrinking Technologies on the Activation Function of NeuronsRalf Eickhoff, Tim Kaulmann, Ulrich Rückert. 501-510 [doi]
- Rectangular Basis Functions Applied to Imbalanced DatasetsVicenç Soler, Marta Prim. 511-519 [doi]
- Qualitative Radial Basis Function Networks Based on Distance Discretization for Classification ProblemsXavier Parra, Andreu Català. 520-528 [doi]
- A Control Approach to a Biophysical Neuron ModelTim Kaulmann, Axel Löffler, Ulrich Rückert. 529-538 [doi]
- Integrate-and-Fire Neural Networks with Monosynaptic-Like Correlated ActivityHéctor Mesa, Francisco J. Veredas. 539-548 [doi]
- Multi-dimensional Recurrent Neural NetworksAlex Graves, Santiago Fernández, Jürgen Schmidhuber. 549-558 [doi]
- FPGA Implementation of an Adaptive Stochastic Neural ModelGiuliano Grossi, Federico Pedersini. 559-568 [doi]
- Global Robust Stability of Competitive Neural Networks with Continuously Distributed Delays and Different Time ScalesYonggui Kao, Qinghe Ming. 569-578 [doi]
- Nonlinear Dynamics Emerging in Large Scale Neural Networks with Ontogenetic and Epigenetic ProcessesJavier Iglesias, Olga K. Chibirova, Alessandro E. P. Villa. 579-588 [doi]
- Modeling of Dynamics Using Process State Projection on the Self Organizing MapJuan J. Fuertes-Martínez, Miguel A. Prada, Manuel Domínguez-González, Perfecto Reguera-Acevedo, Ignacio Díaz Blanco, Abel A. Cuadrado Vega. 589-598 [doi]
- Fixed Points of the Abe Formulation of Stochastic Hopfield NetworksMarie Kratz, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós. 599-608 [doi]
- Visualization of Dynamics Using Local Dynamic Modelling with Self Organizing MapsIgnacio Díaz Blanco, Abel A. Cuadrado Vega, Alberto B. Diez González, Juan J. Fuertes-Martínez, Manuel Domínguez-González, Perfecto Reguera-Acevedo. 609-617 [doi]
- Comparison of Echo State Networks with Simple Recurrent Networks and Variable-Length Markov Models on Symbolic SequencesMichal Cernanský, Peter Tino. 618-627 [doi]
- Data Fusion and Auto-fusion for Quantitative Structure-Activity Relationship (QSAR)Changjian Huang, Mark J. Embrechts, Nagamani Sukumar, Curt M. Breneman. 628-637 [doi]
- Cluster Domains in Binary Minimization ProblemsLeonid B. Litinskii. 638-647 [doi]
- MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable SetLeonardo Franco, José Luis Subirats, José M. Jerez. 648-656 [doi]
- Generalized Softmax Networks for Non-linear Component ExtractionJörg Lücke, Maneesh Sahani. 657-667 [doi]
- Stochastic Weights Reinforcement Learning for Exploratory Data AnalysisYing Wu, Colin Fyfe, Pei Ling Lai. 668-676 [doi]
- Post Nonlinear Independent Subspace AnalysisZoltan Szabo, Barnabás Póczos, Gábor Szirtes, András Lörincz. 677-686 [doi]
- Algebraic Geometric Study of Exchange Monte Carlo MethodKenji Nagata, Sumio Watanabe. 687-696 [doi]
- Solving Deep Memory POMDPs with Recurrent Policy GradientsDaan Wierstra, Alexander Förster, Jan Peters, Jürgen Schmidhuber. 697-706 [doi]
- Soft Clustering for Nonparametric Probability Density Function EstimationEzequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González. 707-716 [doi]
- Vector Field Approximation by Model Inclusive Learning of Neural NetworksYasuaki Kuroe, Hajimu Kawakami. 717-726 [doi]
- Spectral Measures for Kernel Matrices ComparisonJavier González, Alberto Muñoz. 727-736 [doi]
- A Novel and Efficient Method for Testing Non Linear SeparabilityDavid A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead. 737-746 [doi]
- A One-Step Unscented Particle Filter for Nonlinear Dynamical SystemsNikolay Y. Nikolaev, Evgueni N. Smirnov. 747-756 [doi]
- Spike-Timing-Dependent Synaptic Plasticity to Learn Spatiotemporal Patterns in Recurrent Neural NetworksMasahiko Yoshioka, Silvia Scarpetta, Maria Marinaro. 757-766 [doi]
- A Distributed Message Passing Algorithm for Sensor LocalizationMax Welling, Joseph J. Lim. 767-775 [doi]
- An Analytical Model of Divisive Normalization in Disparity-Tuned Complex CellsWolfgang Stürzl, Hanspeter A. Mallot, A. Knoll. 776-787 [doi]
- Automatic Design of Modular Neural Networks Using Genetic ProgrammingNaser NourAshrafoddin, Ali R. Vahdat, Mohammad Mehdi Ebadzadeh. 788-798 [doi]
- Blind Matrix Decomposition Via Genetic Optimization of Sparseness and Nonnegativity ConstraintsKurt Stadlthanner, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Carlos García Puntonet. 799-808 [doi]
- Meta Learning Intrusion Detection in Real Time NetworkRongfang Bie, Xin Jin, Chuanliang Chen, Chuan Xu, Ronghuai Huang. 809-816 [doi]
- Active Learning to Support the Generation of Meta-examplesRicardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir. 817-826 [doi]
- Co-learning and the Development of CommunicationViktor Gyenes, András Lörincz. 827-837 [doi]
- Models of Orthogonal Type Complex-Valued Dynamic Associative Memories and Their Performance ComparisonYasuaki Kuroe, Yuriko Taniguchi. 838-847 [doi]
- Dynamics of Discrete-Time Quaternionic Hopfield Neural NetworksTeijiro Isokawa, Haruhiko Nishimura, Naotake Kamiura, Nobuyuki Matsui. 848-857 [doi]
- Neural Learning Algorithms Based on Mappings: The Case of the Unitary Group of MatricesSimone Fiori. 858-863 [doi]
- Optimal Learning Rates for Clifford NeuronsSven Buchholz, Kanta Tachibana, Eckhard M. S. Hitzer. 864-873 [doi]
- Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN)Igor N. Aizenberg, Jacek M. Zurada. 874-883 [doi]
- Error Reduction in Holographic Movies Using a Hybrid Learning Method in Coherent Neural NetworksChor Shen Tay, Ken Tanizawa, Akira Hirose. 884-893 [doi]
- Sparse and Transformation-Invariant Hierarchical NMFSven Rebhan, Julian Eggert, Horst-Michael Groß, Edgar Körner. 894-903 [doi]
- Zero-Lag Long Range Synchronization of Neurons Is Enhanced by Dynamical RelayingRaul Vicente, Gordon Pipa, Ingo Fischer, Claudio R. Mirasso. 904-913 [doi]
- Polynomial Cellular Neural Networks for Implementing the Game of LifeGiovanni Egidio Pazienza, Eduardo Gómez-Ramírez, Xavier Vilasís-Cardona. 914-923 [doi]
- Deterministic Nonlinear Spike Train Filtered by Spiking Neuron ModelYoshiyuki Asai, Takashi Yokoi, Alessandro E. P. Villa. 924-933 [doi]
- The Role of Internal Oscillators for the One-Shot Learning of Complex Temporal SequencesMatthieu Lagarde, Pierre Andry, Philippe Gaussier. 934-943 [doi]
- Clustering Limit Cycle Oscillators by Spectral Analysis of the Synchronisation Matrix with an Additional Phase Sensitive RotationJan-Hendrik Schleimer, Ricardo Vigário. 944-953 [doi]
- Control and Synchronization of Chaotic Neurons Under Threshold Activated CouplingManish Dev Shrimali, Guoguang He, Sudeshna Sinha, Kazuyuki Aihara. 954-962 [doi]
- Neuronal Multistability Induced by DelayCristina Masoller, M. C. Torrent, Jordi García-Ojalvo. 963-972 [doi]