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Intelligent Data Analysis

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Intelligent Data Analysis, 9783540430605 (3540430601), Springer, 2007
This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The ten coherently written chapters by leading experts provide complete coverage of the core issues.

The first half of the book is devoted to the discussion of classical statistical issues, ranging from the basic concepts of probability, through general notions of inference, to advanced multivariate and time series methods, as well as a detailed discussion of the increasingly important Bayesian approach. The following chapters then concentrate on the area of machine learning and artificial intelligence and provide introductions into the topics of rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a higher level overview of the IDA process and illustrations of the breadth of application of the ideas.

Fields: Artificial Intelligence; Statistics, general; Information Systems/Business Data Processing

Written for: Professionals, students, researchers 

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Algorithmic Probability and Combinatorics: Ams Special Sessions on Algorithmic Probability and Combinatorics, October 5-6, 2007, Depaul University, ... Bc, Canada (Contemporary Mathematics)
Algorithmic Probability and Combinatorics: Ams Special Sessions on Algorithmic Probability and Combinatorics, October 5-6, 2007, Depaul University, ... Bc, Canada (Contemporary Mathematics)

This volume contains the proceedings of the AMS Special Sessions on Algorithmic Probability and Combinatories held at DePaul University on October 5-6, 2007 and at the University of British Columbia on October 4-5, 2008.

This volume collects cutting-edge research and expository on algorithmic probability and combinatories. It
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