798 search results - page 30 / 160 » Perceptual Learning and Abstraction in Machine Learning |
COLT
2006
Springer
14 years 11 days ago
2006
Springer
Abstract. In this paper we unify divergence minimization and statistical inference by means of convex duality. In the process of doing so, we prove that the dual of approximate max...
ICMLA
2010
13 years 6 months ago
2010
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
ALT
2009
Springer
14 years 5 months ago
2009
Springer
Abstract. Learning from streams is a process in which a group of learners separately obtain information about the target to be learned, but they can communicate with each other in ...
ECML
2004
Springer
14 years 2 months ago
2004
Springer
Abstract. In this paper, we investigate the properties of commonly used prepruning heuristics for rule learning by visualizing them in PN-space. PN-space is a variant of ROC-space,...
ICML
1999
IEEE
14 years 9 months ago
1999
IEEE
ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...