The Minimum Description Length Principle
A comprehensive introduction and reference guide to the minimum description length (MDL) Principle that is accessible to researchers dealing with inductive reference in diverse areas including statistics, pattern classification, machine learning, data mining, biology, econometrics, and experimental psychology, as well as philosophers interested in the foundations of statistics.
Peter D. Grünwald is a researcher at CWI, the National Research Institute for Mathematics and Computer Science, Amsterdam, the Netherlands. He is also affiliated with EURANDOM, the European Research Institute for the Study of Stochastic Phenomena, Eindhoven, the Netherlands.
|Reihe||Adaptive Computation and Machine Learning series|
|Maße (L/B/H)||24/45.2/4.1 cm|
|Abbildungen||12 illus. 12 Illustrations, unspecified|