By Lorenza Saitta,Jean-Daniel Zucker
This booklet first offers the reader with an outline of the notions of abstraction proposed in quite a few disciplines by means of evaluating either commonalities and differences. After discussing the characterizing homes of abstraction, a proper version, the KRA model, is gifted to seize them. This version makes the suggestion of abstraction simply appropriate via the advent of a collection of abstraction operators and abstraction styles, reusable throughout varied domain names and functions.
It is the impression of abstraction in synthetic Intelligence, advanced platforms and desktop studying which creates the middle of the book. A basic framework, in line with the KRA model, is gifted, and its pragmatic energy is illustrated with 3 case stories: Model-based prognosis, Cartographic Generalization, and studying Hierarchical Hidden Markov Models.
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