By Topic

Machine learning in biology: a profile of David Haussler

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)

This paper helped initiate the integration of a branch of machine learning theory with machine learning practice, according to Carnegie Mellon's Tom Mitchell, a world-renowned machine learning researcher and past president of the AAAI. Haussler's paper helped introduce the AI community to PAC (probably approximately correct) learning - then a new line of theoretical work - and linked it with ongoing AI work in machine learning.

Published in:

IEEE Intelligent Systems  (Volume:21 ,  Issue: 1 )