By Lorenza Saitta,Jean-Daniel Zucker
This publication first offers the reader with an outline of the notions of abstraction proposed in numerous 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 concept of abstraction simply acceptable by way of the advent of a suite of abstraction operators and abstraction styles, reusable throughout diverse domain names and functions.
It is the impression of abstraction in synthetic Intelligence, advanced structures and laptop studying which creates the middle of the book. A common framework, in keeping with the KRA model, is gifted, and its pragmatic strength is illustrated with 3 case experiences: Model-based prognosis, Cartographic Generalization, and studying Hierarchical Hidden Markov Models.
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