581 search results - page 86 / 117 » EM in High Dimensional Spaces |
100
Voted
SIGGRAPH
1990
ACM
15 years 4 months ago
1990
ACM
We presenta real-time robot motion plannerthatis fastandcomplete to a resolution. The technique is guaranteed to find a path if one exists at the resolution, and all paths returne...
116
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AAAI
2008
15 years 2 months ago
2008
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
107
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AAAI
2000
15 years 1 months ago
2000
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
100
Voted
ACL
1998
15 years 1 months ago
1998
We present an architecture and an on-line learning algorithm and apply it to the problem of part-ofspeech tagging. The architecture presented, SNOW, is a network of linear separat...
NIPS
2000
15 years 1 months ago
2000
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...