Table of Contents

• Automatic Discriminative Lossy Binary Conversion of Redundant Real Training Data Inputs for Simplifying an Input Data Space and Data RepresentationAdrian Horzyk. 1-10 [doi]
• On Tractability of Neural-Network ApproximationPaul C. Kainen, Vera Kurková, Marcello Sanguineti. 11-21 [doi]
• Handling Incomplete Data Using Evolution of Imputation MethodsPawel Zawistowski, Maciej Grzenda. 22-31 [doi]
• Ideas about a Regularized MLP Classifier by Means of Weight Decay SteppingPaavo Nieminen, Tommi Kärkkäinen. 32-41 [doi]
• Connection Strategies in Associative Memory Models with Spiking and Non-spiking NeuronsWeiliang Chen, Reinoud Maex, Rod Adams, Volker Steuber, Lee Calcraft, Neil Davey. 42-51 [doi]
• Some Enhancements to Orthonormal Approximation of 2D FunctionsBartlomiej Beliczynski. 52-61 [doi]
• Shortest Common Superstring Problem with Discrete Neural NetworksDomingo López-Rodríguez, Enrique Mérida Casermeiro. 62-71 [doi]
• A Methodology for Developing Nonlinear Models by Feedforward Neural NetworksHenrik Saxén, Frank Pettersson. 72-78 [doi]
• A Predictive Control Economic Optimiser and Constraint Governor Based on Neural ModelsMaciej Lawrynczuk. 79-88 [doi]
• Computationally Efficient Nonlinear Predictive Control Based on RBF Neural Multi-modelsMaciej Lawrynczuk. 89-98 [doi]
• Parallel Implementations of Recurrent Neural Network LearningUros Lotric, Andrej Dobnikar. 99-108 [doi]
• Growing Competitive Network for Tracking Objects in Video SequencesJuan Miguel Ortiz-de-Lazcano-Lobato, Rafael Marcos Luque, Domingo López-Rodríguez, Esteban J. Palomo. 109-118 [doi]
• Emission Analysis of a Fluidized Bed Boiler by Using Self-Organizing MapsMika Liukkonen, Mikko Heikkinen, Eero Hälikkä, Reijo Kuivalainen, Yrjö Hiltunen. 119-129 [doi]
• Network Security Using Growing Hierarchical Self-Organizing MapsEsteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, J. Muñoz. 130-139 [doi]
• On Document Classification with Self-Organising MapsJyri Saarikoski, Kalervo Järvelin, Jorma Laurikkala, Martti Juhola. 140-149 [doi]
• A Heuristic Procedure with Guided Reproduction for Constructing Cocyclic Hadamard MatricesV. Álvarez, María Dolores Frau, Amparo Osuna. 150-160 [doi]
• Tuning of Large-Scale Linguistic Equation (LE) Models with Genetic AlgorithmsEsko Juuso. 161-170 [doi]
• Elitistic Evolution: An Efficient Heuristic for Global OptimizationFrancisco Viveros Jiménez, Efrén Mezura-Montes, Alexander F. Gelbukh. 171-182 [doi]
• Solving the Multiple Sequence Alignment Problem Using Prototype Optimization with Evolved Improvement StepsJirí Kubalík. 183-192 [doi]
• Grid-Oriented Scatter Search AlgorithmAntonio Gómez-Iglesias, Miguel A. Vega-Rodríguez, Miguel Cárdenas Montes, Enrique Morales-Ramos, Francisco Castejón-Magaña. 193-202 [doi]
• Agent-Based Gene Expression Programming for Solving the RCPSP/max ProblemPiotr Jedrzejowicz, Ewa Ratajczak-Ropel. 203-212 [doi]
• Feature Selection from Barkhausen Noise Data Using Genetic Algorithms with Cross-ValidationAki Sorsa, Kauko Leiviskä. 213-222 [doi]
• Time-Dependent Performance Comparison of Evolutionary AlgorithmsDavid Shilane, Jarno Martikainen, Seppo J. Ovaska. 223-232 [doi]
• Multiobjective Genetic Programming for Nonlinear System IdentificationLavinia Ferariu, Alina Patelli. 233-242 [doi]
• NEAT in HyperNEAT Substituted with Genetic ProgrammingZdenek Buk, Jan Koutník, Miroslav Snorek. 243-252 [doi]
• Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission TomographyShyam P. Kodali, Kalyanmoy Deb, Sunith Bandaru, Prabhat Munshi, N. N. Kishore. 253-262 [doi]
• Estimation of Sensor Network Topology Using Ant Colony OptimizationKensuke Takahashi, Satoshi Kurihara, Toshio Hirotsu, Toshiharu Sugawara. 263-272 [doi]
• Scalability of Learning Impact on Complex Parameters in Recurrent Neural NetworksBranko Ster, Andrej Dobnikar. 273-282 [doi]
• A Hierarchical Classifier with Growing Neural Gas ClusteringIgor T. Podolak, Kamil Bartocha. 283-292 [doi]
• A Generative Model for Self/Non-self Discrimination in StringsMatti Pöllä. 293-302 [doi]
• On the Efficiency of Swap-Based ClusteringPasi Fränti, Olli Virmajoki. 303-312 [doi]
• Sum-of-Squares Based Cluster Validity Index and Significance AnalysisQinpei Zhao, Mantao Xu, Pasi Fränti. 313-322 [doi]
• Supporting Scalable Bayesian Networks Using Configurable Discretizer ActuatorsIsaac Olusegun Osunmakinde, Antoine B. Bagula. 323-332 [doi]
• String Distances and UniformitiesDavid W. Pearson, Jean-Christophe Janodet. 333-339 [doi]
• Emergent Future Situation Awareness: A Temporal Probabilistic Reasoning in the Absence of Domain ExpertsIsaac Olusegun Osunmakinde, Antoine B. Bagula. 340-349 [doi]
• Efficient Hold-Out for Subset of RegressorsTapio Pahikkala, Hanna Suominen, Jorma Boberg, Tapio Salakoski. 350-359 [doi]
• Improving Optimistic Exploration in Model-Free Reinforcement LearningMarek Grzes, Daniel Kudenko. 360-369 [doi]
• Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold LearningCatarina Silva, Bernardete Ribeiro. 370-379 [doi]
• A Cat-Like Robot Real-Time Learning to RunPawel Wawrzynski. 380-390 [doi]
• Controlling the Experimental Three-Tank System via Support Vector MachinesSerdar Iplikci. 391-400 [doi]
• Feature-Based Clustering for Electricity Use Time Series DataTeemu Räsänen, Mikko Kolehmainen. 401-412 [doi]
• The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar CortexGiseli de Sousa, Rod Adams, Neil Davey, Reinoud Maex, Volker Steuber. 413-422 [doi]
• Fuzzy Inference Systems for Efficient Non-invasive On-Line Two-Phase Flow Regime IdentificationTatiana Tambouratzis, Imre Pázsit. 423-429 [doi]
• Machine Tuning of Stable Analytical Fuzzy Predictive ControllersPiotr M. Marusak. 430-439 [doi]
• Crisp Classifiers vs. Fuzzy Classifiers: A Statistical StudyJosé Luis Jara, Rodrigo Acevedo-Crespo. 440-447 [doi]
• Efficient Model Predictive Control Algorithm with Fuzzy Approximations of Nonlinear ModelsPiotr M. Marusak. 448-457 [doi]
• Dynamic Classifier Systems and Their Applications to Random Forest EnsemblesDavid Stefka, Martin Holena. 458-468 [doi]
• A Fuzzy Shape Descriptor and Inference by Fuzzy Relaxation with Application to Description of Bones Contours at Hand RadiographsMarzena Bielecka, Marek Skomorowski, Bartosz Zielinski. 469-478 [doi]
• Hough and Fuzzy Hough Transform in Music Tunes Recognition SystemsMaciej Hrebien, Józef Korbicz. 479-488 [doi]
• Multiple Order Gradient Feature for Macro-Invertebrate Identification Using Support Vector MachinesVille Tirronen, Andrea Caponio, Tomi Haanpää, Kristian Meissner. 489-497 [doi]
• Bayesian Dimension Reduction Models for Microarray DataAlbert D. Shieh. 498-506 [doi]
• Gene Selection for Cancer Classification through Ensemble of MethodsArtur Wilinski, Stanislaw Osowski, Krzysztof Siwek. 507-516 [doi]
• Rules versus Hierarchy: An Application of Fuzzy Set Theory to the Assessment of Spatial Grouping TechniquesMartin Watts. 517-526 [doi]
• A Novel Signal-Based Approach to Anomaly Detection in IDS SystemsLukasz Saganowski, Michal Choras, Rafal Renk, Witold Holubowicz. 527-536 [doi]
• Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress DataBernardete Ribeiro, Catarina Silva, Armando Vieira, João Carvalho das Neves. 537-547 [doi]
• Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff ModelingIvo Couckuyt, Dirk Gorissen, Hamed Rouhani, Eric Laermans, Tom Dhaene. 548-558 [doi]
• Gene Trajectory Clustering for Learning the Stock Market SectorsDarie Moldovan, Gheorghe Cosmin Silaghi. 559-568 [doi]
• Accurate Prediction of Financial Distress of Companies with Machine Learning AlgorithmsArmando Vieira, João Duarte, Bernardete Ribeiro, João Carvalho das Neves. 569-576 [doi]
• Approximation Scheduling Algorithms for Solving Multi-objects Movement Synchronization ProblemZbigniew Tarapata. 577-589 [doi]
• Automatic Segmentation of Bone Tissue in X-Ray Hand ImagesAyhan Yuksel, Tamer Ölmez. 590-599 [doi]
• Automatic Morphing of Face ImagesVittorio Zanella, Geovany A. Ramírez, Héctor Vargas, Lorna V. Rosas. 600-608 [doi]
• A Comparison Study of Strategies for Combining Classifiers from Distributed Data SourcesIreneusz Czarnowski, Piotr Jedrzejowicz. 609-618 [doi]
• Visualizing Time Series State Changes with Prototype Based ClusteringMarkus Pylvänen, Sami Äyrämö, Tommi Kärkkäinen. 619-628 [doi]