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ORCIDAdvances in Machine Learning II 2010
- Jacek Koronacki, Zbigniew W. Ras, Slawomir T. Wierzchon
, Janusz Kacprzyk:
Advances in Machine Learning II, Dedicated to the Memory of Professor Ryszard S. Michalski. Studies in Computational Intelligence 263, Springer 2010, ISBN 978-3-642-05178-4
General Issues
- Witold Pedrycz:
Knowledge-Oriented and Distributed Unsupervised Learning for Concept Elicitation. 3-21 - Andrzej Skowron, Marcin S. Szczuka:
Toward Interactive Computations: A Rough-Granular Approach. 23-42 - Stan Matwin, Tomasz Szapiro:
Data Privacy: From Technology to Economics. 43-74 - Phillipa M. Avery, Zbigniew Michalewicz:
Adapting to Human Gamers Using Coevolution. 75-100 - Mirsad Hadzikadic, Min Sun:
Wisdom of Crowds in the Prisoner's Dilemma Context. 101-118
Logical and Relational Learning, and Beyond
- Marenglen Biba, Stefano Ferilli, Floriana Esposito:
Towards Multistrategic Statistical Relational Learning. 121-142 - Luc De Raedt:
About Knowledge and Inference in Logical and Relational Learning. 143-153 - Marta Franová, Yves Kodratoff:
Two Examples of Computational Creativity: ILP Multiple Predicate Synthesis and the 'Assets' in Theorem Proving. 155-173 - Jan Rauch:
Logical Aspects of the Measures of Interestingness of Association Rules. 175-203
Text and Web Mining
- Katharina Morik, Michael Wurst:
Clustering the Web 2.0. 207-223 - Miroslav Kubat, Kanoksri Sarinnapakorn, Sareewan Dendamrongvit:
Induction in Multi-Label Text Classification Domains. 225-244 - Boris G. Mirkin, Susana Nascimento, Luís Moniz Pereira:
Cluster-Lift Method for Mapping Research Activities over a Concept Tree. 245-257 - Marzena Kryszkiewicz, Henryk Rybinski, Katarzyna Cichon:
On Concise Representations of Frequent Patterns Admitting Negation. 259-289
Classification and Beyond
- Derek H. Sleeman, Andy Aiken, Laura Moss, John Kinsella, Malcolm Sim:
A System to Detect Inconsistencies between a Domain Expert's Different Perspectives on (Classification) Tasks. 293-314 - Eduardo Rodrigues Gomes, Ryszard Kowalczyk:
The Dynamics of Multiagent Q-Learning in Commodity Market Resource Allocation. 315-349 - Christian Borgelt:
Simple Algorithms for Frequent Item Set Mining. 351-369 - Michal Draminski, Marcin Kierczak, Jacek Koronacki, Henryk Jan Komorowski:
Monte Carlo Feature Selection and Interdependency Discovery in Supervised Classification. 371-385 - Halina Kwasnicka, Mariusz Paradowski:
Machine Learning Methods in Automatic Image Annotation. 387-411
Neural Networks and Other Nature Inspired Approaches
- Nikola K. Kasabov:
Integrative Probabilistic Evolving Spiking Neural Networks Utilising Quantum Inspired Evolutionary Algorithm: A Computational Framework. 415-425 - Boris Kryzhanovsky, Vladimir Kryzhanovsky, Leonid B. Litinskii:
Machine Learning in Vector Models of Neural Networks. 427-443 - Hongbo Liu, Ajith Abraham, Benxian Yue:
Nature Inspired Multi-Swarm Heuristics for Multi-Knowledge Extraction. 445-466 - Tomasz Maszczyk, Marek Grochowski, Wlodzislaw Duch:
Discovering Data Structures Using Meta-learning, Visualization and Constructive Neural Networks. 467-484 - Vladimir A. Golovko, Sergei V. Bezobrazov, Pavel Kachurka, Leanid U. Vaitsekhovich:
Neural Network and Artificial Immune Systems for Malware and Network Intrusion Detection. 485-513 - Alexander O. Tarakanov:
Immunocomputing for Speaker Recognition. 515-529
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