7378 search results - page 392 / 1476 » Introduction to Machine Learning |
192
click to vote
ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
165
Voted
ECML
2004
Springer
16 years 7 days ago
2004
Springer
HEXQ is a reinforcement learning algorithm that discovers hierarchical structure automatically. The generated task hierarchy repthe problem at different levels of abstraction. In ...
223
click to vote
COLT
2003
Springer
16 years 2 days ago
2003
Springer
The application of statistical methods to natural language processing has been remarkably successful over the past two decades. But, to deal with recent problems arising in this ï¬...
191
click to vote
NIPS
2007
15 years 8 months ago
2007
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
195
click to vote
CONCUR
2010
Springer
15 years 8 months ago
2010
Springer
Links are established between three widely used modeling frameworks for reactive systems: the ioco theory of Tretmans, the interface automata of De Alfaro and Henzinger, and Mealy ...