813 search results - page 130 / 163 » Ensemble Algorithms in Reinforcement Learning |
121
click to vote
CORR
2010
Springer
15 years 1 months ago
2010
Springer
In many applications involving multi-media data, the definition of similarity between items is integral to several key tasks, including nearest-neighbor retrieval, classification,...
160
click to vote
TNN
2010
14 years 11 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
142
click to vote
NIPS
2004
15 years 5 months ago
2004
We establish a mistake bound for an ensemble method for classification based on maximizing the entropy of voting weights subject to margin constraints. The bound is the same as a ...
152
click to vote
ICRA
2009
IEEE
15 years 11 months ago
2009
IEEE
—We present an application of machine learning to the semi-automatic synthesis of robust servo-trackers for underwater robotics. In particular, we investigate an approach based o...
134
click to vote
ICDM
2008
IEEE
15 years 10 months ago
2008
IEEE
To cope with concept drift, we paired a stable online learner with a reactive one. A stable learner predicts based on all of its experience, whereas a reactive learner predicts ba...