171 search results - page 25 / 35 » Adapting Decision Trees for Learning Selectional Restriction... |
114
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CVPR
2012
IEEE
13 years 1 days ago
2012
IEEE
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
103
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ATAL
2004
Springer
15 years 3 months ago
2004
Springer
The problem of interest is how to dynamically allocate wireless access services in a competitive market which implements a take-it-or-leave-it allocation mechanism. In this paper ...
ICPR
2010
IEEE
15 years 3 months ago
2010
IEEE
—Randomized learning methods (i.e., Forests or Ferns) have shown excellent capabilities for various computer vision applications. However, it was shown that the tree structure in...
ATAL
2003
Springer
15 years 2 months ago
2003
Springer
Large systems of agents deployed in a real-world environment face threats to their problem solving performance that are independent of the complexity of the problem or the charact...
ACG
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Games are considered important benchmark tasks of artificial intelligence research. Modern strategic board games can typically be played by three or more people, which m...