default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID9th ICANNGA 2009: Kuopio, Finland
- Mikko Kolehmainen, Pekka J. Toivanen, Bartlomiej Beliczynski:
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, 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
- Víctor 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
- 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 - José Luis 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 M. M. 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-02-20 19:49 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
