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On the way to learning deterministic objects
- 1.0411031 - UTIA-B 20030018 CZ eng K - Conference Paper (Czech conference)
Bůcha, Jindřich
On the way to learning deterministic objects.
Ostrava: VŠB, 2003. ISBN 80-248-0229-5. In: Znalosti 2003. Sborník příspěvků 2. ročníku konference. - (Svátek, V.), s. 252-261
[Znalosti 2003 /2./. Ostrava (CZ), 19.02.2003-21.02.2003]
R&D Projects: GA ČR GA102/99/1564
Institutional research plan: CEZ:AV0Z1075907
Keywords : machine learning * objects * integration
Subject RIV: BC - Control Systems Theory
http://library.utia.cas.cz/prace/20030018.pdf
The paper deals with learning knowledge about objects, i.e. entities of the real environment. This is an important topic, often neglected by machine learning. The whole experimental approach is implemented via the integration of several areas of AI, namely machine learning, knowledge base management, reasoning, especially Prolog-like and analogical. More specifically, the approach is based on further generalization of already learned (generalized) rules, and on analogy.
Permanent Link: http://hdl.handle.net/11104/0131118
Number of the records: 1