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A comprehensive survey on feature selection in the various fields of machine learning
Applied intelligence (Boston), 2021Pradip Dhal, Chandrashekhar Azad
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Feature selection based on mutual information with correlation coefficient
Applied intelligence (Boston), 2021Hongfang Zhou, Xiqian Wang, R. Zhu
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003
Hanchuan Peng, Fuhui Long, C. Ding
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Hanchuan Peng, Fuhui Long, C. Ding
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A multi-objective optimization algorithm for feature selection problems
Engineering computations, 2021Benyamin Abdollahzadeh+1 more
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A survey on feature selection methods
Computers & electrical engineering, 2014G. Chandrashekar, F. Sahin
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2010
Publisher Summary This chapter discusses techniques for the selection of a subset of features from a larger pool of available features. The techniques include: outlier removal, data normalization, hypothesis testing, the receiver operating characteristic curve, fisher's discriminant ratio and so on.
Konstantinos Koutroumbas+3 more
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Publisher Summary This chapter discusses techniques for the selection of a subset of features from a larger pool of available features. The techniques include: outlier removal, data normalization, hypothesis testing, the receiver operating characteristic curve, fisher's discriminant ratio and so on.
Konstantinos Koutroumbas+3 more
openaire +2 more sources
Feature Selection for Classification using Principal Component Analysis and Information Gain
Expert systems with applications, 2021E. Omuya, G. Okeyo, Michael W. Kimwele
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Selection of Significant Features Using Monte Carlo Feature Selection
2015Feature selection methods identify subsets of features in large datasets. Such methods have become popular in data-intensive areas, and performing feature selection prior to model construction may reduce the computational cost and improve the model quality.
Jan Komorowski+2 more
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Current treatment and recent progress in gastric cancer
Ca-A Cancer Journal for Clinicians, 2021Smita S Joshi, Brian D Badgwell
exaly