Machine learning books

Designing complex programs such as operating systems, compilers, filing systems, data base systems, etc. These include...  Read More >>

Organizes major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge...  Read More >>

Genetic Programming Theory and Practice III provides both researchers and industry professionals with the most recent...  Read More >>

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Constitutes the refereed proceedings of the First International Workshop on Machine Learning held in Sheffield,...  Read More >>

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However, most GAs employed in practice nowadays are unable to learn genetic linkage and suffer from the linkage...  Read More >>

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The European Conference on Machine Learning (ECML) and the European Conference on Principles and Practice of Knowledge...  Read More >>

Finding information hidden in data is as theoretically difficult as it is practically important. This book show...  Read More >>

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Given data on a sample from some population, we aimed to discover whether the population should be considered to...  Read More >>

The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from...  Read More >>

A scientific monograph developing significant new algorithmic foundations in machine learning theory.  Read More >>

A source book for state-of-the-art MDL, including an extensive tutorial and recent theoretical advances and practical...  Read More >>

Machine learning deals with the issue of how to build computer programs that improve their performance at some tasks...  Read More >>

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The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, starting...  Read More >>

The work described in this book was first presented at the Second Workshop on Genetic Programming, Theory and Practice,...  Read More >>

Data mining (DM) consists of extracting interesting knowledge from re- world, large & complex data sets; The goal...  Read More >>

The two volume set LNCS 3102/3103 constitutes the refereed proceedings of the Genetic and Evolutionary Computation...  Read More >>

An introductory text in machine learning that gives a unified treatment of methods based on statistics, pattern...  Read More >>

Algorithmic learning theory is mathematics about computer programs which learn from experience. Formal models of...  Read More >>

The papers present a wealth of new results in the area and address all current issues in machine learning.  Read More >>

Inspired by the Darwinian framework of evolution through natural selection and adaptation, the field of evolutionary...  Read More >>