TITLE

Upper-bound estimates for classifiers based on a dissimilarity function

AUTHOR(S)
Rusyn, B.; Tayanov, V.; Lutsyka, O.
PUB. DATE
July 2012
SOURCE
Cybernetics & Systems Analysis;Jul2012, Vol. 48 Issue 4, p592
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Approaches to calculating upper-bound estimates of recognition probability are proposed that can be used for a more general class of models. One of estimates determines the stability of object coverage by classification algorithms on the basis of distribution of distances between objects, and another estimate is underlain by leave-one-out cross-validation. This considerably simplifies and facilitates the construction of estimates.
ACCESSION #
79824072

 

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