This book constitutes the proceedings of the 19th International Symposium on Intelligent Data Analysis, IDA 2021, which was ...
Lee mas
An overview of a non-asymptotic theory for model selection is given here and some selected applications to variable selection, ...
Lee mas
This book is both a reference for engineers and scientists and a teaching resource, featuring tutorial chapters and research ...
Lee mas
Addresses the fundamentals of kernel methods for machine learning by considering relevant math problems and building Python ...
Lee mas
Approaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting ...
Lee mas
The European Conference on Machine Learning (ECML) and the European Conference on Principles and Practice of Knowledge Discovery ...
Lee masThis book brings together the latest genome base prediction models currently being used by statisticians, breeders and data ...
Lee mas
Statistical Learning from a Regression Perspective considers statistical learning applications when interest centers on the ...
Lee mas
The inspiration for this volume was a workshop held under the auspices of thePASCAL Network of Excellence. The aimof this ...
Lee mas
The support vector machine (SVM) has become one of the standard tools for machine learning and data mining. This carefully ...
Lee mas