Geodesic
Estimation of the reliability of a classification algorithm as based on a new information model
Žurnal vyčislitelʹnoj matematiki i matematičeskoj fiziki, Tome 53 (2013) no. 5, pp. 808-815

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A new approach to the estimation of the reliability of classification algorithms is proposed. The approach is based on an unconventional information model of such algorithms. Examples of new estimates are given, which are compared with usual statistical estimates. 
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     author = {S. I. Gurov},
     title = {Estimation of the reliability of a classification algorithm as based on a new information model},
     journal = {\v{Z}urnal vy\v{c}islitelʹnoj matematiki i matemati\v{c}eskoj fiziki},
     pages = {808--815},
     publisher = {mathdoc},
     volume = {53},
     number = {5},
     year = {2013},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/ZVMMF_2013_53_5_a11/}
}
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S. I. Gurov. Estimation of the reliability of a classification algorithm as based on a new information model. Žurnal vyčislitelʹnoj matematiki i matematičeskoj fiziki, Tome 53 (2013) no. 5, pp. 808-815. http://geodesic.mathdoc.fr/item/ZVMMF_2013_53_5_a11/