1325 search results - page 155 / 265 » Algorithm Selection using Reinforcement Learning |
IJRR
2010
15 years 28 days ago
2010
— This paper addresses the problem of closing the loop from perception to action selection for unmanned ground vehicles, with a focus on navigating slopes. A new non-parametric l...
122
Voted
KDD
1994
ACM
15 years 6 months ago
1994
ACM
: Most of Knowledge Discovery in Database (KDD) systems are integrating efficient Machine Learning techniques. In fact issues in Machine Learning and KDD are very close allowing fo...
151
Voted
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
We describe an algorithm for similar-image search which
is designed to be efficient for extremely large collections of
images. For each query, a small response set is selected by...
106
Voted
NIPS
2007
15 years 3 months ago
2007
We present a theoretical study on the discriminative clustering framework, recently proposed for simultaneous subspace selection via linear discriminant analysis (LDA) and cluster...
110
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...