| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0410355 |
| utime |
20240103182208.1 |
| mtime |
20060210235959.9 |
| title
(primary) (eng) |
On Efficiency of Learning: A Framework and Justification |
| publisher |
| place |
Berlin |
| name |
ECAI |
| pub_time |
2000 |
|
| specification |
|
| serial |
| title
|
Proceedings of the First Workshop on Ontology Learning |
| page_num |
51-53 |
| editor |
|
| editor |
|
| editor |
|
| editor |
| name1 |
Wiemer-Hastings |
| name2 |
P. |
|
|
| author
(primary) |
| ARLID |
cav_un_auth*0101072 |
| name1 |
Bůcha |
| name2 |
Jindřich |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| COSATI |
09I |
| cas_special |
| project |
| project_id |
GA102/99/1564 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0004444 |
|
| research |
AV0Z1075907 |
| abstract
(eng) |
A conceptual framework, whose goal is the improve-ment of efficiency of machine learning, is presented. The frame-work is designed in a broader context of problem solver (PS). The design is solved as an integration of all basic cognitive functions and as a software-engineering problem. Many (one hundred) requirements imposed on PS are considered. The most important of them are the object-oriented nature of the PS environment, reflexivity of PS, and central role of tool and shifted border. |
| action |
| ARLID |
cav_un_auth*0212651 |
| name |
European Conference on Artificial Intelligence /14./ |
| place |
Berlin |
| country |
DE |
| dates |
20.08.2000-25.08.2000 |
|
| RIV |
BC |
| department |
AS |
| permalink |
http://hdl.handle.net/11104/0130444 |
| ID_orig |
UTIA-B 20000071 |
| arlyear |
2000 |
| mrcbU10 |
2000 |
| mrcbU10 |
Berlin ECAI |
| mrcbU63 |
Proceedings of the First Workshop on Ontology Learning 51 53 |
| mrcbU67 |
Staab S. 340 |
| mrcbU67 |
Maedche A. 340 |
| mrcbU67 |
Nedellec C. 340 |
| mrcbU67 |
Wiemer-Hastings P. 340 |
|