| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0311822 |
| utime |
20240103190351.2 |
| mtime |
20081029235959.9 |
| title
(primary) (eng) |
Feature Space Optimization |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0311821 |
| ISBN |
978-80-213-1813-7 |
| title
|
Agrarian Perspectives XVII |
| part_num |
DII |
| part_title |
Challenges for 21st century |
| page_num |
497-500 |
| publisher |
| place |
Praha |
| name |
ČZU |
| year |
2008 |
|
|
| title
(cze) |
Optimalizace příznakového prostoru |
| keyword |
feature selection |
| keyword |
local context |
| keyword |
computational complexity |
| keyword |
feature significance |
| author
(primary) |
| ARLID |
cav_un_auth*0101129 |
| name1 |
Klimešová |
| name2 |
Dana |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
The contribution deals with the problem of feature selection strategies for the case of high dimensional feature space. In this paper an effective method of feature selection is proposed where two different measures are considered and time and storage complexity is acceptable. |
| abstract
(cze) |
Příspěvek se zabývá problematikou strategií výběru příznaků pro případy velkého počtu příznaků. V článku je navržena efektivní metoda pro výběr původních příznaků, která pro tyto případy definuje dvě kumulativní soupeřící míry. |
| action |
| ARLID |
cav_un_auth*0242048 |
| name |
Agrarian Perspectives XVII |
| place |
Praha |
| dates |
16.09.2008-17.09.2008 |
| country |
CZ |
|
| reportyear |
2009 |
| RIV |
IN |
| permalink |
http://hdl.handle.net/11104/0163062 |
| arlyear |
2008 |
| mrcbU63 |
cav_un_epca*0311821 Agrarian Perspectives XVII Challenges for 21st century DII 978-80-213-1813-7 497 500 Agrarian Perspectives XVII Praha ČZU 2008 |
|