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Publication search results
found 27 matches
- 2010
- Reinaldo A. C. Bianchi, Arnau Ramisa, Ramón López de Mántaras:
Automatic Selection of Object Recognition Methods Using Reinforcement Learning. Advances in Machine Learning I 2010: 421-439 - Ivan Bratko:
Comparison of Machine Learning for Autonomous Robot Discovery. Advances in Machine Learning I 2010: 441-456 - Pavel Brazdil, Rui Leite:
Determining the Best Classification Algorithm with Recourse to Sampling and Metalearning. Advances in Machine Learning I 2010: 173-188 - Yaile Caballero, Rafael Bello, Leticia Arco, María M. García, Enislay Ramentol:
Knowledge Discovery Using Rough Set Theory. Advances in Machine Learning I 2010: 367-383 - Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Transductive Learning for Spatial Data Classification. Advances in Machine Learning I 2010: 189-207 - Krzysztof J. Cios, Lukasz A. Kurgan:
Machine Learning Algorithms Inspired by the Work of Ryszard Spencer Michalski. Advances in Machine Learning I 2010: 49-74 - Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski:
Beyond Sequential Covering - Boosted Decision Rules. Advances in Machine Learning I 2010: 209-225 - Joachim Diederich, Alan B. Tickle, Shlomo Geva:
Quo Vadis? Reliable and Practical Rule Extraction from Neural Networks. Advances in Machine Learning I 2010: 479-490 - Pinar Donmez, Jaime G. Carbonell:
From Active to Proactive Learning Methods. Advances in Machine Learning I 2010: 97-120 - Alexander A. Frolov, Dusan Húsek, Igor P. Muraviev, Pavel Yu. Polyakov:
Learning and Unlearning in Hopfield-Like Neural Network Performing Boolean Factor Analysis. Advances in Machine Learning I 2010: 501-518 - Ugo Galassi, Marco Botta, Lorenza Saitta:
Structured Hidden Markov Model versus String Kernel Machines for Symbolic Sequence Classification. Advances in Machine Learning I 2010: 275-295 - Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse:
Increasing Incompleteness of Data Sets - A Strategy for Inducing Better Rule Sets. Advances in Machine Learning I 2010: 345-365 - Aboul Ella Hassanien, Hameed Al-Qaheri, Václav Snásel, James F. Peters:
Machine Learning Techniques for Prostate Ultrasound Image Diagnosis. Advances in Machine Learning I 2010: 385-403 - Jens Christian Hühn, Eyke Hüllermeier:
An Analysis of the FURIA Algorithm for Fuzzy Rule Induction. Advances in Machine Learning I 2010: 321-344 - Janusz Kacprzyk, Grazyna Szkatula:
Inductive Learning: A Combinatorial Optimization Approach. Advances in Machine Learning I 2010: 75-93 - Marek Kowal, Józef Korbicz:
Segmentation of Breast Cancer Fine Needle Biopsy Cytological Images Using Fuzzy Clustering. Advances in Machine Learning I 2010: 405-417 - Nada Lavrac, Johannes Fürnkranz, Dragan Gamberger:
Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms. Advances in Machine Learning I 2010: 121-146 - Marcus A. Maloof:
The AQ Methods for Concept Drift. Advances in Machine Learning I 2010: 23-47 - Gisele L. Pappa, Alex Alves Freitas:
Creating Rule Ensembles from Automatically-Evolved Rule Induction Algorithms. Advances in Machine Learning I 2010: 257-273 - Zbigniew W. Ras, Agnieszka Dardzinska, Wenxin Jiang:
Cascade Classifiers for Hierarchical Decision Systems. Advances in Machine Learning I 2010: 247-256 - Vladimir G. Red'ko, Danil V. Prokhorov:
Learning and Evolution of Autonomous Adaptive Agents. Advances in Machine Learning I 2010: 491-500 - Matti Saarela, Tapio Elomaa, Keijo Ruohonen:
An Analysis of Relevance Vector Machine Regression. Advances in Machine Learning I 2010: 227-246 - Claude Sammut, Tak Fai Yik:
Multistrategy Learning for Robot Behaviours. Advances in Machine Learning I 2010: 457-476 - Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin:
Transfer Learning via Advice Taking. Advances in Machine Learning I 2010: 147-170 - Janusz Wojtusiak, Kenneth A. Kaufman:
Ryszard S. Michalski: The Vision and Evolution of Machine Learning. Advances in Machine Learning I 2010: 3-22 - Ronald R. Yager:
Partition Measures for Data Mining. Advances in Machine Learning I 2010: 299-319 - Jacek Koronacki, Zbigniew W. Ras, Slawomir T. Wierzchon, Janusz Kacprzyk:
Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski. Studies in Computational Intelligence 262, Springer 2010, ISBN 978-3-642-05176-0 [contents]
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