Transcription of On Discriminative vs. Generative Classifiers: A …
{{id}} {{{paragraph}}}
Example: bachelor of science
On Discriminative vs. Generative Classifiers: A …
On Discriminative vs. Generative classifiers: A comparison of logistic regression and naive Bayes Andrew Y. Ng Computer Science Division University of California, Berkeley Berkeley, CA 94720 Michael I. Jordan Div. & Dept. of Stat. University of California, Berkeley Berke ley, CA 94720 Abstract We compare Discriminative and Generative learning as typified by logistic regression and naive Bayes. We show, contrary to a widely-held belief that Discriminative classifiers are almost always to be preferred, that there can often be two distinct regimes of per-formance as the training set size is increased, one in which each algorithm does better.
On Discriminative vs. Generative classifiers: A comparison of logistic regression and naive Bayes Andrew Y. Ng Computer Science Division University of California, Berkeley
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: