836 search results - page 42 / 168 » Machine learning: a review of classification and combining t... |
COLT
1998
Springer
14 years 2 days ago
1998
Springer
We introduce and analyze a new algorithm for linear classification which combines Rosenblatt's perceptron algorithm with Helmbold and Warmuth's leave-one-out method. Like...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
ML
2006
ACM
13 years 7 months ago
2006
ACM
The application of Inductive Logic Programming to scientific datasets has been highly successful. Such applications have led to breakthroughs in the domain of interest and have dri...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
The UCT algorithm learns a value function online using sample-based search. The TD() algorithm can learn a value function offline for the on-policy distribution. We consider three...
ICML
1998
IEEE
14 years 8 months ago
1998
IEEE
Genetic Programming (GP) is a machine learning technique that was not conceived to use domain knowledge for generating new candidate solutions. It has been shown that GP can bene ...