Concentration Inequalities and Model Selection ; Ecole d'Eté de Probabilités de Saint-Flour XXXIII - 2003
An overview of a non-asymptotic theory for model selection is given here and some selected applications to variable selection, ...
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Feature Extraction
This book is both a reference for engineers and scientists and a teaching resource, featuring tutorial chapters and research ...
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Grammatical Inference: Algorithms and Applications
The topics discussed range from theoretical results of learning algorithms to innovative applications of grammatical inference ...
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Learning Theory
It covers unsupervised, semisupervised and active learning, statistical learning theory, inductive inference, regularized ...
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Learning Theory (vol. # 4005)
This book constitutes the refereed proceedings of the 19th Annual Conference on Learning Theory, COLT 2006, held in Pittsburgh, ...
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Machine Learning Challenges
This book constitutes the refereed post-proceedings of the First PASCAL Machine Learning Challenges Workshop, MLCW 2005. ...
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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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Neural Information Processing : 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part I
The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 ...
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Neural Information Processing : 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part II
The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 ...
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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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Subspace, Latent Structure and Feature Selection
The inspiration for this volume was a workshop held under the auspices of thePASCAL Network of Excellence. The aimof this ...
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Support Vector Machines: Theory and Applications
The support vector machine (SVM) has become one of the standard tools for machine learning and data mining. This carefully ...
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