Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolut

This book studies mathematical theories of machine learning. The first part of the book explores the optimality and adaptivity of choosing step sizes of gradien

Machine learning is currently one of the most rapidly growing areas of research in computer science. In compiling this volume we have brought together contribut

This volume includes some of the key research papers in the area of machine learning produced at MIT and Siemens during a three-year joint research effort. It i