994 search results - page 94 / 199 » Modeling and Inference with Relational Dynamic Bayesian Netw... |
124
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JMLR
2006
15 years 1 months ago
2006
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
127
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CVPR
2012
IEEE
13 years 3 months ago
2012
IEEE
—In this paper we propose a probabilistic model to parameterize human interactive behaviour from human motion. To Support the model taxonomy, we use Laban Movement Analysis (LMA)...
109
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AAAI
1994
15 years 2 months ago
1994
A distributed neural network model called SPEC for processing sentences with recursive relative clauses is described. The model is based on separating the tasks of segmenting the ...
129
Voted
IPMU
1992
Springer
15 years 5 months ago
1992
Springer
This paper deals with the problem of inference under uncertain information. This is a generalization of a paper of Cardona et al. (1991a) where rules were not allowed to contain n...
126
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WWW
2009
ACM
16 years 2 months ago
2009
ACM
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...