SANJEEV KULKARNI, PhD, is Professor in the Department of Electrical Engineering at Princeton University, where he is also an affiliated faculty member in the Department of Operations Research and Financial Engineering and the Department of Philosophy. Dr. Kulkarni has published widely on statistical pattern recognition, nonparametric estimation, machine learning, information theory, and other areas. A Fellow of the IEEE, he was awarded Princeton University's President's Award for Distinguished Teaching in 2007. GILBERT HARMAN, PhD, is James S. McDonnell Distinguished University Professor in the Department of Philosophy at Princeton University. A Fellow of the Cognitive Science Society, he is the author of more than fifty published articles in his areas of research interest, which include ethics, statistical learning theory, psychology of reasoning, and logic.
<p> The main focus of the book is on the ideas behind basicprinciples of learning theory and I can strongly recommend the bookto anyone who wants to comprehend these ideas. (Mathematical Reviews, 1 January 2013) <p> It also serves as an introductory reference forresearchers and practitioners in the fields of engineering,computer science, philosophy, and cognitive science that would liketo further their knowledge of the topic. (Zentralblatt MATH, 2012) <p>