However , while Bayes summarizes these statistics in simple rules, Pebls uses them as part of an MBR classifier. Average case analysis of conjunctive learning algorithms . In this case, equivalent levels lead to somewhat slower learning rates, as one would expect given that attribute noise can corrupt multiple values, whereas class noise affects only one. One issue of interest is the number of training instances required to achieve some criterion level of accuracy. Average-case analysis of conjunctive learning algorithms .
P is known a priori.
Given these stronger assumptions, many researchers have shown that both rational and exponential learning curves are possible. Average case analysis of conjunctive learning algorithms . It is important to note that Pebls computes the same statistics as the naive Bayes classifier. Thus , during training the running time of both methods is the same. However , while Bayes summarizes these statistics in simple rules, Pebls uses them as part of an MBR classifier.