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Fallbasiertes interaktives „PACS-learning“

✍ Scribed by A. Scherer; P. Kröpil; P. Heusch; C. Buchbender; P. Sewerin; D. Blondin; R.S. Lanzman; F. Miese; B. Ostendorf; E. Bölke; U. Mödder; G. Antoch

Book ID: 105809007
Publisher: Springer
Year: 2011
Tongue: German
Weight: 440 KB
Volume: 51
Category: Article
ISSN: 0033-832X
DOI: 10.1007/s00117-011-2241-8

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## Abstract This paper is based on the concept of the learning function, which represents the input‐output relation of the learning algorithm. The learning process and the information compression process are formulated as the PAC learning function and the Occam function, respectively, and their equ