| bibtype |
J -
Journal Article
|
| ARLID |
0410787 |
| utime |
20240103182239.2 |
| mtime |
20060210235959.9 |
| title
(primary) (eng) |
Feature selection toolbox software package |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0257389 |
| ISSN |
0167-8655 |
| title
|
Pattern Recognition Letters |
| volume_id |
23 |
| volume |
4 (2002) |
| page_num |
487-492 |
| publisher |
|
|
| keyword |
pattern recognition |
| keyword |
feature selection |
| keyword |
loating search algorithms |
| author
(primary) |
| ARLID |
cav_un_auth*0101182 |
| name1 |
Pudil |
| name2 |
Pavel |
| institution |
UTIA-B |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101171 |
| name1 |
Novovičová |
| name2 |
Jana |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101197 |
| name1 |
Somol |
| name2 |
Petr |
| institution |
UTIA-B |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| COSATI |
09K |
| COSATI |
12B |
| cas_special |
| project |
| project_id |
GA402/01/0981 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0008962 |
|
| research |
CEZ:AV0Z1075907 |
| abstract
(eng) |
Recent advances in the statistical methodology for selecting optimal subsets of features for data representation and classification are presented. The paper attempts to provide a guideline which approach to choose with respect to the extent of a priori knowledge of the problem. Two basic approaches are reviewed and the conditions under which they should be used are specified. A consulting system aimed to guide a user to choose a proper method for the problem at hand is being prepared. |
| RIV |
BB |
| department |
RO |
| permalink |
http://hdl.handle.net/11104/0130874 |
| ID_orig |
UTIA-B 20020001 |
| arlyear |
2002 |
| mrcbU63 |
cav_un_epca*0257389 Pattern Recognition Letters 0167-8655 1872-7344 Roč. 23 č. 4 2002 487 492 Elsevier |
|