… ble functions in the binary domain to be learnable by Naive Bayes under … the learnability
and error rates of Naive Bayes can be affected dramatically by the sampling distribution of the …

… This paper explores the learnability of Augmented Naive Bayes … bounds of the learnability
of Augmented Naive Bayes in terms of … of the learnability (and limitations) of Naive Bayes, Tree …

… how the mapping affects the learnability of Naive Bayes. We show an interesting result on
Naive Bayes; that is, Naive Bayes can actually learn some nonlinear functions in the nominal …

… surprisingly good performance of naive Bayes in classification? … the superb classification
performance of naive Bayes. We show that, essentially, the dependence distribution; ie, how the …

… We examine the learnability of the naive Bayesian classifier in terms of that linearity
measure. We show that the naive Bayesian classifier can learn some hard linear and some soft …

… Finally, we present and prove a sufficient condition for the optimality of naive Bayes in … not
learnable by naive Bayes, such as conjunctive concepts and m-of-n concepts. In other words, …

… The performance of the Naïve Bayes classifier (NB) is of interest to many researchers. The
desire to improve upon the … with the insight into the variations into the Naïve Bayes classifier …

… 2 then provides the foun dations: overviewing Naive Bayes … reward function which is only
received when the budget has … of the Naive Bayes model induced by the parameters of the …

… Then we analyse theoretically the optimality of naive Bayes in … the performance of naive
Bayes in classification. Surprisingly, … naive Bayes performs well in classification, its learnability is …

… improve the performance of the Naive Bayesian classifier by removing redundant and/or
irrelevant attributes from the data … To achieve this, we use the trees that are constructed by C4.5. …