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