TY - JOUR
T1 - The mysterious optimality of Naive Bayes
T2 - Estimation of the probability in the system of "classifiers"
AU - Kupervasser, O.
PY - 2014/1
Y1 - 2014/1
N2 - Bayes Classifiers are widely used currently for recognition, identification and knowledge discovery. The fields of application are, for example, image processing, medicine, chemistry (QSAR). However, by mysterious way the Naive Bayes Classifier usually gives a very nice and good presentation of recognition. More complex models of Bayes Classifier cannot improve it considerably. We demonstrate here a very nice and simple proof of the Naive Bayes Classifier optimality that can explain this interesting fact. The derivation in the current paper is based on a paper of the author written in 2002.
AB - Bayes Classifiers are widely used currently for recognition, identification and knowledge discovery. The fields of application are, for example, image processing, medicine, chemistry (QSAR). However, by mysterious way the Naive Bayes Classifier usually gives a very nice and good presentation of recognition. More complex models of Bayes Classifier cannot improve it considerably. We demonstrate here a very nice and simple proof of the Naive Bayes Classifier optimality that can explain this interesting fact. The derivation in the current paper is based on a paper of the author written in 2002.
KW - Bayes Classifier
KW - Naive Bayes
KW - QSAR
KW - optimality
KW - recognition
UR - http://www.scopus.com/inward/record.url?scp=84897435498&partnerID=8YFLogxK
U2 - 10.1134/S1054661814010088
DO - 10.1134/S1054661814010088
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
AN - SCOPUS:84897435498
SN - 1054-6618
VL - 24
SP - 1
EP - 10
JO - Pattern Recognition and Image Analysis
JF - Pattern Recognition and Image Analysis
IS - 1
ER -