Data Structures & Theory of Computation

An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and

An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurat

A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations of Statistical Algorithms: With References to R P

This book provides a general overview of multiple instance learning (MIL), defining the framework and covering the central paradigms. The authors discuss the mo