2103 search results - page 369 / 421 » Approximate Learning of Dynamic Models |
107
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SCALESPACE
2007
Springer
15 years 8 months ago
2007
Springer
Incorporating shape priors in image segmentation has become a key problem in computer vision. Most existing work is limited to a linearized shape space with small deformation modes...
144
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ECML
2005
Springer
15 years 7 months ago
2005
Springer
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
103
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ISMIS
2003
Springer
15 years 7 months ago
2003
Springer
We propose an intelligent document title classification agent based on a theory of information inference. The information is represented as vectorial spaces computed by a cognitive...
106
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DIS
1998
Springer
15 years 6 months ago
1998
Springer
We consider the exact learning in the query model. We deal with all types of queries introduced by Angluin: membership, equivalence, superset, subset, disjointness and exhaustivene...
114
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GECCO
2000
Springer
15 years 5 months ago
2000
Springer
This paper gives a theoretical and empirical analysis of the time complexity of genetic algorithms (GAs) on problems with exponentially scaled building blocks. It is important to ...