4446 search results - page 691 / 890 » Learning Observer Agents |
126
Voted
AAAI
2006
15 years 6 months ago
2006
Most existing decision tree inducers are very fast due to their greedy approach. In many real-life applications, however, we are willing to allocate more time to get better decisi...
121
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AAAI
2006
15 years 6 months ago
2006
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
135
Voted
AAAI
2004
15 years 6 months ago
2004
This paper deals with automatically learning the spatial distribution of a set of images. That is, given a sequence of images acquired from well-separated locations, how can they ...
155
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AAAI
2004
15 years 6 months ago
2004
We present a probabilistic method for path planning that considers trajectories constrained by both the environment and an ensemble of restrictions or preferences on preferred mot...
148
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AAAI
2004
15 years 6 months ago
2004
This paper addresses the probabilistic inference of geometric structures from images. Specifically, of synthesizing range data to enhance the reconstruction of a 3D model of an in...