Advances in Intelligent Data Analysis XIX : 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26–28, 2021, Proceedings
This book constitutes the proceedings of the 19th International Symposium on Intelligent Data Analysis, IDA 2021, which was ...
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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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Kernel Methods for Machine Learning with Math and Python : 100 Exercises for Building Logic / Joe Suzuki
Addresses the fundamentals of kernel methods for machine learning by considering relevant math problems and building Python ...
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Machine Learning : The Basics / Alexander Jung
Approaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting ...
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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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This book brings together the latest genome base prediction models currently being used by statisticians, breeders and data ...
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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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