252 search results - page 28 / 51 » Learning Partially Observable Action Models: Efficient Algor... |
135
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DAGM
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
118
Voted
AAAI
2007
15 years 5 months ago
2007
Planning under uncertainty involves two distinct sources of uncertainty: uncertainty about the effects of actions and uncertainty about the current state of the world. The most wi...
135
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ISIPTA
2005
IEEE
15 years 8 months ago
2005
IEEE
The paper presents an efficient solution to decision problems where direct partial information on the distribution of the states of nature is available, either by observations of ...
118
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ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
EM algorithm is a very popular iteration-based method to estimate the parameters of Gaussian Mixture Model from a large observation set. However, in most cases, EM algorithm is no...
189
Voted
ALDT
2011
Springer
14 years 2 months ago
2011
Springer
Abstract. We develop a Bayesian approach to concept learning for crowdsourcing applications. A probabilistic belief over possible concept definitions is maintained and updated acc...