June 2014
Beginner
448 pages
16h 23m
English
book
Introduction to Imprecise Probabilities
by Matthias C. M. Troffaes, Gert de Cooman, Frank P. A. Coolen, Thomas Augustin
Content preview from Introduction to Imprecise Probabilities
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Contributors
Joaquín Abellán co-authored Chapter 10 (Classification). He is an associate professor of Computer Science and Artificial Intelligence and a member of the research group on Uncertainty Treatment on Artificial Intelligence (UTAI) at the University of Granada. His current research interests are representation of the information via imprecise probabilities; definition and analysis of information/uncertainty measures on imprecise probabilities; and their applications, principally in the data mining area. For further information, see http://decsai.ugr.es/∼jabellan/
Alessandro Antonucci (PhD in computer science, '08) co-authored Chapter 9 (Probabilistic graphical models). He is a Researcher at IDSIA, in Switzerland, with the Imprecise Probability Group (http://ipg.idsia.ch). He also teaches computational mathematics at SUPSI, in Switzerland. He is the Treasurer and an former Executive Editor of SIPTA, the Society for Imprecise Probability: Theory and Applications. His interests include probabilistic graphical models, classification, and the development of knowledge-based expert systems. For further information, see http://www.idsia.ch/∼alessandro
Thomas Augustin co-authored Chapter 7 (Statistical inference). He is Professor at the Department of Statistics, Ludwig-Maximilians University (LMU) in Munich, and head of the group ‘Foundations of Statistics and Their Applications’ there. He received a PhD at LMU Munich in 1997 and worked as postdoc in Munich and Bielefeld. His ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.