Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi !

Preprocessing by cost-sensitive literal reduction algorithm: Reduce (CROSBI ID 23656)

Prilog u knjizi | izvorni znanstveni rad

Lavrač, Nada ; Gamberger, Dragan ; Turney, Peter Preprocessing by cost-sensitive literal reduction algorithm: Reduce // Learning, Networks and Statistics / Della Riccia, G ; Lenz, H.J ; Kruse, R. (ur.). Beč : New York (NY): Springer, 1996. str. 179-196-x

Podaci o odgovornosti

Lavrač, Nada ; Gamberger, Dragan ; Turney, Peter

engleski

Preprocessing by cost-sensitive literal reduction algorithm: Reduce

This study is concerned with whether it is possible to detect what information contained in the training data and background knowledge is relevant for solving the learning problem, and whether irrelevant information can be eliminated in preprocessing before starting the learning process. A case study of data preprocessing for a hybrid genetic algorithm shows that the elimination of irrelevant features can substantially improve the efficiency of learning. In addition, cost-sensitive feature elimination can be effective for reducing costs of induced hypotheses.

machine learning, literals, genetic algorithm

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o prilogu

179-196-x.

objavljeno

Podaci o knjizi

Learning, Networks and Statistics

Della Riccia, G ; Lenz, H.J ; Kruse, R.

Beč : New York (NY): Springer

1996.

Povezanost rada

Elektrotehnika