Information Theory and Statistical Learning - 9781441946508

Information Theory and Statistical LearningAuthor(s): Frank Emmert-Streib, Matthias Dehmer\nFormat: Paperback\nPublisher: Springer-Verlag New York Inc., United States\nImprint: Springer-Verlag New York Inc.\nISBN-13: 9781441946508, 978-1441946508\nSynopsis\n\""Information Theory and Statistical Learning\"" presents theoretical and practical results about information theoretic methods used in the context of statistical learning. \n\nThe book will present a comprehensive overview of the large range of different methods that have been developed in a multitude of contexts. Each chapter is written by an expert in the field. The book is intended for an interdisciplinary readership working in machine learning, applied statistics, artificial intelligence, biostatistics, computational biology, bioinformatics, web mining or related disciplines.\n\nAdvance Praise for \""Information Theory and Statistical Learning\"":\n\n\""A new epoch has arrived for information sciences to integrate various disciplo