Open AccessSelection Of Informative Features using The Modified Version Of The Delta Method
Author(s) -
N. Mamatov,
Niyozmatova Nilufar,
Samijonov Abdurashid,
Yusuf Zafar,
Dadakhanov Musokhon
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b6590.129219
Subject(s) - heuristic , selection (genetic algorithm) , artificial intelligence , computer science , compact space , pattern recognition (psychology) , machine learning , mathematics , pure mathematics
Currently, the most common criteria for informative features are heuristic criteria related to assessing the separability of given classes and based on the compactness hypothesis fundamental in pattern recognition: with increasing distance between classes, their separability improves. “Good” are those signs that maximize this distance.Although heuristic criteria, although they are widely used in solving practical problems of classification, however, in theoretical terms they are little studied.