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168
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CVPR
2010
IEEE
16 years 3 months ago
2010
IEEE
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...
191
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EUSFLAT
2003
15 years 8 months ago
2003
This paper proposes a method for Bayesian networks that handles uncertainty and discretization of continuous variables when learning the networks from a database of cases. The dat...
181
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ICDM
2005
IEEE
16 years 8 days ago
2005
IEEE
Accurate topical classification of user queries allows for increased effectiveness and efficiency in general-purpose web search systems. Such classification becomes critical if th...
164
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AI
1998
Springer
15 years 11 months ago
1998
Springer
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
144
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MVA
2007
15 years 8 months ago
2007
For a social robot, the ability of learning tasks via human demonstration is very crucial. But most current approaches suffer from either the demanding of the huge amount of label...