3837 search results - page 296 / 768 » Learning Approximate Consistencies |
201
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CVPR
2010
IEEE
16 years 3 months ago
2010
IEEE
Maji and Berg [13] have recently introduced an explicit feature map approximating the intersection kernel. This enables efficient learning methods for linear kernels to be applied...
208
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UAI
2004
15 years 8 months ago
2004
Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...
192
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ALT
2005
Springer
16 years 4 months ago
2005
Springer
Within learning theory teaching has been studied in various ways. In a common variant the teacher has to teach all learners that are restricted to output only consistent hypotheses...
196
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HIS
2004
15 years 8 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
238
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AAAI
2011
14 years 7 months ago
2011
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...