Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II
This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ...
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Machine Learning for Multimedia Content Analysis
Challenges in complexity and variability of multimedia data have led to revolutions in machine learning techniques. Multimedia ...
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Machine Learning: ECML 2005
The European Conference on Machine Learning (ECML) and the European Conference on Principles and Practice of Knowledge Discovery ...
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Machine Learning: ECML 2006
This book constitutes the refereed proceedings of the 17th European Conference on Machine Learning, ECML 2006, held in Berlin, ...
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Modern Multivariate Statistical Techniques : Regression, Classification, and Manifold Learning
Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the ...
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Multi-Objective Machine Learning
This monograph presents a selected collection of research work on multi-objective approach to machine learning, including ...
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Rule Extraction from Support Vector Machines
This book provides an overview of the field and introduces a number of different approaches to extracting rules from support ...
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Soft Computing for Knowledge Discovery and Data Mining
The first three parts of this book are devoted to the principal constituents of soft computing: neural networks, evolutionary ...
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Statistical Learning from a Regression Perspective
Statistical Learning from a Regression Perspective considers statistical learning applications when interest centers on the ...
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Statistical Tools for Finance and Insurance
Statistical Tools in Finance and Insurance presents ready-to-use solutions, theoretical developments and method construction ...
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Support Vector Machines
This book explains the principles that make support vector machines (SVMs) a successful modelling and prediction tool for ...
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Support Vector Machines for Pattern Classification
I was shocked to see a student’s report on performance comparisons between support vector machines (SVMs) and fuzzy classi?ers ...
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