1864 search results - page 198 / 373 » Learning Object Context for Adaptive Learning Design |
140
Voted
NIPS
2008
15 years 3 months ago
2008
This paper studies global ranking problem by learning to rank methods. Conventional learning to rank methods are usually designed for `local ranking', in the sense that the r...
140
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IUI
2009
ACM
15 years 11 months ago
2009
ACM
Recent years have seen a resurgence of interest in programming by demonstration. As end users have become increasingly sophisticated, computer and artificial intelligence technolo...
122
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ICPR
2010
IEEE
15 years 8 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...
135
Voted
ICCV
2009
IEEE
15 years 7 days ago
2009
IEEE
Most motion-based tracking algorithms assume that objects undergo rigid motion, which is most likely disobeyed in real world. In this paper, we present a novel motionbased trackin...
143
Voted
ICML
2001
IEEE
16 years 3 months ago
2001
IEEE
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...