6715 search results - page 545 / 1343 » Learning from a Test Set |
186
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COLT
2005
Springer
16 years 19 days ago
2005
Springer
We consider the problem of learning mixtures of distributions via spectral methods and derive a tight characterization of when such methods are useful. Specifically, given a mixt...
173
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ECSQARU
2005
Springer
16 years 19 days ago
2005
Springer
In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...
184
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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...
165
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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...
196
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NIPS
2007
15 years 8 months ago
2007
We present a probabilistic generative model of visual attributes, together with an efficient learning algorithm. Attributes are visual qualities of objects, such as ‘red’, ...