813 search results - page 130 / 163 » Ensemble Algorithms in Reinforcement Learning |
157
click to vote
CORR
2010
Springer
15 years 3 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,...
205
click to vote
TNN
2010
15 years 1 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...
172
click to vote
NIPS
2004
15 years 8 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 ...
185
click to vote
ICRA
2009
IEEE
16 years 1 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...
160
click to vote
ICDM
2008
IEEE
16 years 1 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...