An introduction to some statistical aspects of PAC learning theoryVIDYASAGAR, M.Systems & control letters. 1998, Vol 34, Num 3, pp 115-124, issn 0167-6911Article

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Theory and practice of vector quantizers trained on small training setsCOHN, D; RISKIN, E. A; LADNER, R et al.IEEE transactions on pattern analysis and machine intelligence. 1994, Vol 16, Num 1, pp 54-65, issn 0162-8828Article

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