Original title: On the way to learning deterministic objects
Authors: Bůcha, Jindřich
Document type: Papers
Conference/Event: Znalosti 2003 /2./, Ostrava (CZ), 2003-02-19 / 2003-02-21
Year: 2003
Language: eng
Abstract: 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.
Keywords: integration; machine learning; objects
Project no.: CEZ:AV0Z1075907 (CEP), GA102/99/1564 (CEP)
Funding provider: GA ČR
Host item entry: Znalosti 2003. Sborník příspěvků 2. ročníku konference

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: http://library.utia.cas.cz/prace/20030018.pdf
Original record: http://hdl.handle.net/11104/0131118

Permalink: http://www.nusl.cz/ntk/nusl-34973


The record appears in these collections:
Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Papers