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Constitutes the refereed post-proceedings of the Third International Workshop on Machine Learning for Multimodal... Read More >>
This volume contains the papers presented at the inaugural workshop on Data Mining and Bioinformatics at the 32nd... Read More >>
The topic this book addresses originated from a panel discussion at the 2004 ACM SIGKDD (Special Interest Group... Read More >>
Linear Genetic Programming presents a variant of genetic programming (GP) that evolves imperative computer programs... Read More >>
Presents research on a general framework for perceptual organisation that was conducted mainly at the Institute... Read More >>
Covers real-world applications, such as computational biology, text categorization, time series prediction, interpolation,... Read More >>
Machine learning is the study of building computer programs that improve their performance through experience. This... Read More >>
Viele sehr wichtige kombinatorische Optimierungsprobleme haben sich als schwierig exakt lösbar herausgestellt, weshalb... Read More >>
A title that is dedicated to the monumental life, work and creative genius of Zdzislaw Pawlak, the originator of... Read More >>
Constitutes the refereed proceedings of the 6th International Conference on Simulated Evolution and Learning, SEAL... Read More >>
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Constitutes the refereed proceedings of the 17th International Conference on Algorithmic Learning Theory, ALT 2006,... Read More >>
A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification... Read More >>
Constitutes the refereed proceedings of the 17th European Conference on Machine Learning, ECML 2006, held, jointly... Read More >>
2 The One Clause at a Time (OCAT) Concept 58 4. 2 Structure of the Knowledge Base 98 2. 3 Reasoning Operations for... Read More >>
Helping developers understand the problems associated with managing unstructured text, this book explains how to... Read More >>
Machine learning is currently one of the most rapidly growing areas of research in computer science. symbolic learning,... Read More >>
This monograph presents a selected collection of research work on multi-objective approach to machine learning,... Read More >>
A clear and comprehensive introduction to the field of evolutionary computation that takes an integrated approach.... Read More >>
Estimation of Distribution Algorithms (EDAs) are a set of algorithms in the Evolutionary Computation (EC) field... Read More >>