23703 search results - page 258 / 4741 » Learning from Demonstration |
201
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IFIP12
2008
15 years 8 months ago
2008
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
153
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PRL
2008
15 years 6 months ago
2008
We consider an active learning game within a transductive learning model. A major problem with many active learning algorithms is that an unreliable current hypothesis can mislead...
173
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CVPR
2006
IEEE
16 years 8 months ago
2006
IEEE
Many sources of information relevant to computer vision and machine learning tasks are often underused. One example is the similarity between the elements from a novel source, suc...
191
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PPSN
2004
Springer
16 years 23 hour ago
2004
Springer
Two ideas taken from Bayesian optimization and classifier systems are presented for personnel scheduling based on choosing a suitable scheduling rule from a set for each person’s...
156
Voted
COGSCI
2007
15 years 6 months ago
2007
An expression-induction model was used to simulate the evolution of basic color terms to test Berlin and Kay’s (1969) hypothesis that the typological patterns observed in basic ...