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.
Lecture Notes in Computer Science 5495 Springer 2009, 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
- Uros Lotric, Andrej Dobnikar:
Parallel Implementations of Recurrent Neural Network Learning.
99-108
- 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, J. 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
- Pasi Fränti, Olli Virmajoki:
On the Efficiency of Swap-Based Clustering.
303-312
- 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
- David W. Pearson, Jean-Christophe Janodet:
String Distances and Uniformities.
333-339
- 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
Bioinformatics
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
- Ayhan Yüksel, Tamer Ölmez:
Automatic Segmentation of Bone Tissue in X-Ray Hand Images.
590-599
- 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
Last update Fri May 25 08:16:39 2012
CET by the DBLP Team — 
Data released under the ODC-BY 1.0 license — See also our legal information page
