Publications
Article · International Journal of Innovative Technology and Exploring Engineering · December 30, 2019
Selection Of Informative Features using The Modified Version Of The Delta Method
Narzillo Mamatov, Niyozmatova Nilufar, Abdurashid Samijonov, Yuldashev Zafar, Dadakhanov Musokhon
Abstract
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.
Face and Expression RecognitionStatistical Methods and ApplicationsData Mining and Machine Learning Applicationsfeature selectioninformative featuresdelta method
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