1986 search results - page 188 / 398 » Modelling Learning Subjects as Relationships |
146
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ATAL
2008
Springer
15 years 6 months ago
2008
Springer
Modeling synthetic characters which interact with objects in dynamic virtual worlds is important when we want the agents to act in an autonomous and non-preplanned way. Such inter...
128
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NIPS
2003
15 years 5 months ago
2003
When we learn a new motor skill, we have to contend with both the variability inherent in our sensors and the task. The sensory uncertainty can be reduced by using information abo...
138
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IJAR
2008
15 years 4 months ago
2008
We present Bayesian updating of an imprecise probability measure, represented by a class of precise multidimensional probability measures. Choice and analysis of our class are mot...
177
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KDD
2010
ACM
15 years 8 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
131
Voted
SIGIR
2008
ACM
15 years 4 months ago
2008
ACM
The Markov Random Walk model has been recently exploited for multi-document summarization by making use of the link relationships between sentences in the document set, under the ...