0348726 20240103194028.920101101235959.9 000281990900001 78149286082 10.1109/TPAMI.2010.34. 19 s. cav_un_epca*02567250162-88283211 (2010)1921-1939IEEE Computer Society feature selection feature stability stability measures similarity measures sequential search individual ranking feature subset-size optimization high dimensionality small sample size cav_un_auth*0101197 Somol Petr Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101171 Novovičová Jana Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2010/RO/somol-0348726.pdf 2C06019 GA MŠk CZ cav_un_auth*0216518 1M0572 GA MŠk cav_un_auth*0001814 GA102/08/0593 GA ČR cav_un_auth*0239567 GA102/07/1594 GA ČR cav_un_auth*0228611 CEZ:AV0Z10750506 Stability (robustness) of feature selection methods is a topic of recent interest, yet often neglected importance, with direct impact on the reliability of machine learning systems. We investigate the problem of evaluating the stability of feature selection processes yielding subsets of varying size. We introduce several novel feature selection stability measures and adjust some existing measures in a unifying framework that offers broad insight into the stability problem. We study in detail the properties of considered measures and demonstrate on various examples what information about the feature selection process can be gained. We also introduce an alternative approach to feature selection evaluation in the form of measures that enable comparing the similarity of two feature selection processes. These measures enable comparing, e.g., the output of two feature selection methods or two runs of one method with different parameters. 2011 BD 4 A 4a 20231122134215.1 http://hdl.handle.net/11104/0189168 COMPUTERSCIENCEARTIFICIALINTELLIGENCE|ENGINEERINGELECTRICALELECTRONIC 7.534 0.625 9.5 0.04969 2.802 25060 176 200 3.513 38.34 8.38 Q1 99.374 99.465 Q1* Q1 2010 Soubory v repozitáři: somol-0348726.pdf 78149286082 SCOPUS 000281990900001 WOS cav_un_epca*0256725 IEEE Transactions on Pattern Analysis and Machine Intelligence 0162-8828 1939-3539 Roč. 32 č. 11 2010 1921 1939 IEEE Computer Society