9. ICANNGA 2009: Kuopio, Finland
Mikko Kolehmainen, Pekka J. Toivanen, Bartlomiej Beliczynski (Eds.): Adaptive and Natural Computing Algorithms, 9th International Conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers. Springer 2009 Lecture Notes in Computer Science ISBN 978-3-642-04920-0
Neural Networks
- Adrian Horzyk: Automatic Discriminative Lossy Binary Conversion of Redundant Real Training Data Inputs for Simplifying an Input Data Space and Data Representation. 1-10
- Paul C. Kainen, Vera Kurková, Marcello Sanguineti: On Tractability of Neural-Network Approximation. 11-21
- Pawel Zawistowski, Maciej Grzenda: Handling Incomplete Data Using Evolution of Imputation Methods. 22-31
- Paavo Nieminen, Tommi Kärkkäinen: Ideas about a Regularized MLP Classifier by Means of Weight Decay Stepping. 32-41
- Weiliang Chen, Reinoud Maex, Rod Adams, Volker Steuber, Lee Calcraft, Neil Davey: Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons. 42-51
- Bartlomiej Beliczynski: Some Enhancements to Orthonormal Approximation of 2D Functions. 52-61
- Domingo López-Rodríguez, Enrique Mérida Casermeiro: Shortest Common Superstring Problem with Discrete Neural Networks. 62-71
- Henrik Saxén, Frank Pettersson: A Methodology for Developing Nonlinear Models by Feedforward Neural Networks. 72-78
- Maciej Lawrynczuk: A Predictive Control Economic Optimiser and Constraint Governor Based on Neural Models. 79-88
- Maciej Lawrynczuk: Computationally Efficient Nonlinear Predictive Control Based on RBF Neural Multi-models. 89-98
- Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael Marcos Luque, Domingo López-Rodríguez, Esteban J. Palomo: Growing Competitive Network for Tracking Objects in Video Sequences. 109-118
- Mika Liukkonen, Mikko Heikkinen, Eero Hälikkä, Reijo Kuivalainen, Yrjö Hiltunen: Emission Analysis of a Fluidized Bed Boiler by Using Self-Organizing Maps. 119-129
- Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz: Network Security Using Growing Hierarchical Self-Organizing Maps. 130-139
- Jyri Saarikoski, Kalervo Järvelin, Jorma Laurikkala, Martti Juhola: On Document Classification with Self-Organising Maps. 140-149
Evolutionary Computation
- V. Álvarez, María Dolores Frau, Amparo Osuna: A Heuristic Procedure with Guided Reproduction for Constructing Cocyclic Hadamard Matrices. 150-160
- Esko Juuso: Tuning of Large-Scale Linguistic Equation (LE) Models with Genetic Algorithms. 161-170
- Francisco Viveros Jiménez, Efrén Mezura-Montes, Alexander F. Gelbukh: Elitistic Evolution: An Efficient Heuristic for Global Optimization. 171-182
- Jirí Kubalík: Solving the Multiple Sequence Alignment Problem Using Prototype Optimization with Evolved Improvement Steps. 183-192
- Antonio Gómez-Iglesias, Miguel A. Vega-Rodríguez, Miguel Cárdenas Montes, Enrique Morales-Ramos, Francisco Castejón-Magaña: Grid-Oriented Scatter Search Algorithm. 193-202
- Piotr Jedrzejowicz, Ewa Ratajczak-Ropel: Agent-Based Gene Expression Programming for Solving the RCPSP/max Problem. 203-212
- Aki Sorsa, Kauko Leiviskä: Feature Selection from Barkhausen Noise Data Using Genetic Algorithms with Cross-Validation. 213-222
- David Shilane, Jarno Martikainen, Seppo J. Ovaska: Time-Dependent Performance Comparison of Evolutionary Algorithms. 223-232
- Lavinia Ferariu, Alina Patelli: Multiobjective Genetic Programming for Nonlinear System Identification. 233-242
- Zdenek Buk, Jan Koutník, Miroslav Snorek: NEAT in HyperNEAT Substituted with Genetic Programming. 243-252
- Shyam P. Kodali, Kalyanmoy Deb, Sunith Bandaru, Prabhat Munshi, N. N. Kishore: Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission Tomography. 253-262
- Kensuke Takahashi, Satoshi Kurihara, Toshio Hirotsu, Toshiharu Sugawara: Estimation of Sensor Network Topology Using Ant Colony Optimization. 263-272
Learning
- Branko Ster, Andrej Dobnikar: Scalability of Learning Impact on Complex Parameters in Recurrent Neural Networks. 273-282
- Igor T. Podolak, Kamil Bartocha: A Hierarchical Classifier with Growing Neural Gas Clustering. 283-292
- Matti Pöllä: A Generative Model for Self/Non-self Discrimination in Strings. 293-302
- Qinpei Zhao, Mantao Xu, Pasi Fränti: Sum-of-Squares Based Cluster Validity Index and Significance Analysis. 313-322
- Isaac Olusegun Osunmakinde, Antoine B. Bagula: Supporting Scalable Bayesian Networks Using Configurable Discretizer Actuators. 323-332
- Isaac Olusegun Osunmakinde, Antoine B. Bagula: Emergent Future Situation Awareness: A Temporal Probabilistic Reasoning in the Absence of Domain Experts. 340-349
- Tapio Pahikkala, Hanna Suominen, Jorma Boberg, Tapio Salakoski: Efficient Hold-Out for Subset of Regressors. 350-359
- Marek Grzes, Daniel Kudenko: Improving Optimistic Exploration in Model-Free Reinforcement Learning. 360-369
- Catarina Silva, Bernardete Ribeiro: Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning. 370-379
- Pawel Wawrzynski: A Cat-Like Robot Real-Time Learning to Run. 380-390
- Serdar Iplikci: Controlling the Experimental Three-Tank System via Support Vector Machines. 391-400
- Teemu Räsänen, Mikko Kolehmainen: Feature-Based Clustering for Electricity Use Time Series Data. 401-412
- Giseli de Sousa, Rod Adams, Neil Davey, Reinoud Maex, Volker Steuber: The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex. 413-422
Soft Computing
- Tatiana Tambouratzis, Imre Pázsit: Fuzzy Inference Systems for Efficient Non-invasive On-Line Two-Phase Flow Regime Identification. 423-429
- Piotr M. Marusak: Machine Tuning of Stable Analytical Fuzzy Predictive Controllers. 430-439
- J. L. Jara, Rodrigo Acevedo-Crespo: Crisp Classifiers vs. Fuzzy Classifiers: A Statistical Study. 440-447
- Piotr M. Marusak: Efficient Model Predictive Control Algorithm with Fuzzy Approximations of Nonlinear Models. 448-457
- David Stefka, Martin Holena: Dynamic Classifier Systems and Their Applications to Random Forest Ensembles. 458-468
- Marzena Bielecka, Marek Skomorowski, Bartosz Zielinski: A Fuzzy Shape Descriptor and Inference by Fuzzy Relaxation with Application to Description of Bones Contours at Hand Radiographs. 469-478
- Maciej Hrebien, Józef Korbicz: Hough and Fuzzy Hough Transform in Music Tunes Recognition Systems. 479-488
Bioinformatics
- Ville Tirronen, Andrea Caponio, Tomi Haanpää, Kristian Meissner: Multiple Order Gradient Feature for Macro-Invertebrate Identification Using Support Vector Machines. 489-497
- Albert D. Shieh: Bayesian Dimension Reduction Models for Microarray Data. 498-506
- Artur Wilinski, Stanislaw Osowski, Krzysztof Siwek: Gene Selection for Cancer Classification through Ensemble of Methods. 507-516
Applications
- Martin Watts: Rules versus Hierarchy: An Application of Fuzzy Set Theory to the Assessment of Spatial Grouping Techniques. 517-526
- Lukasz Saganowski, Michal Choras, Rafal Renk, Witold Holubowicz: A Novel Signal-Based Approach to Anomaly Detection in IDS Systems. 527-536
- Bernardete Ribeiro, Catarina Silva, Armando Vieira, João Carvalho das Neves: Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data. 537-547
- Ivo Couckuyt, Dirk Gorissen, Hamed Rouhani, Eric Laermans, Tom Dhaene: Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling. 548-558
- Darie Moldovan, Gheorghe Cosmin Silaghi: Gene Trajectory Clustering for Learning the Stock Market Sectors. 559-568
- Armando Vieira, João Duarte, Bernardete Ribeiro, João Carvalho das Neves: Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms. 569-576
- Zbigniew Tarapata: Approximation Scheduling Algorithms for Solving Multi-objects Movement Synchronization Problem. 577-589
- Vittorio Zanella, Geovany A. Ramírez, Héctor Vargas, Lorna V. Rosas: Automatic Morphing of Face Images. 600-608
- Ireneusz Czarnowski, Piotr Jedrzejowicz: A Comparison Study of Strategies for Combining Classifiers from Distributed Data Sources. 609-618
- Markus Pylvänen, Sami Äyrämö, Tommi Kärkkäinen: Visualizing Time Series State Changes with Prototype Based Clustering. 619-628
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last updated on 2013-06-18T214307 by the dblp team