| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0410965 |
| utime |
20240103182252.1 |
| mtime |
20060210235959.9 |
| ISBN |
0-7803-7602-1 |
| title
(primary) (eng) |
Adaptive features of machine learning methods |
| publisher |
| place |
Varna |
| name |
IEEE |
| pub_time |
2002 |
|
| specification |
|
| serial |
| title
|
First International IEEE Symposium Intelligent Systems. Proceedings |
| page_num |
40-43 |
|
| keyword |
adaptivity |
| keyword |
machine learning |
| keyword |
incremental learning |
| author
(primary) |
| ARLID |
cav_un_auth*0101068 |
| name1 |
Berka |
| name2 |
Petr |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| COSATI |
09N |
| cas_special |
| research |
CEZ:AV0Z1075907 |
| abstract
(eng) |
This paper gives a survey of (symbolic) machine learning methods, that exhibit significant features of adaptivity. The paper discussed incremental learning, learning in dynamically changing domains, knowledge integration, theory revision, case based reasoning and inductive logic programming. |
| action |
| ARLID |
cav_un_auth*0212980 |
| name |
International IEEE Symposium Intelligent Systems /1./ |
| place |
Varna |
| country |
BG |
| dates |
10.09.2002-12.09.2002 |
|
| RIV |
JD |
| department |
MTR |
| permalink |
http://hdl.handle.net/11104/0131052 |
| ID_orig |
UTIA-B 20020179 |
| arlyear |
2002 |
| mrcbU10 |
2002 |
| mrcbU10 |
Varna IEEE |
| mrcbU12 |
0-7803-7602-1 |
| mrcbU63 |
First International IEEE Symposium Intelligent Systems. Proceedings 40 43 |
|