Assigning different weights to feature values in naive bayes

  • Lee, C.-H.
Citations

SCOPUS

1

초록

Assigning weights in features has been an important topic in some classification learning algorithms. While the current weighting methods assign a weight to each feature, in this paper, we assign a different weight to the values of each feature. The performance of naive Bayes learning with value-based weighting method is compared with that of some other traditional methods for a number of datasets. © Springer Nature Singapore Pte Ltd. 2016.

키워드

Feature selectionFeature weightingKullback-LeiblerNaive bayes
제목
Assigning different weights to feature values in naive bayes
저자
Lee, C.-H.
DOI
10.1007/978-981-10-2777-2_15
발행일
2016
유형
Conference Paper
저널명
Communications in Computer and Information Science
652
페이지
171 ~ 179