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