557 search results - page 66 / 112 » Learning programs from noisy data |
167
Voted
DAGSTUHL
2003
15 years 4 months ago
2003
Data mining focuses on the development of methods and algorithms for such tasks as classification, clustering, rule induction, and discovery of associations. In the database fiel...
110
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ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative pr...
176
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IDA
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
141
Voted
IAT
2009
IEEE
15 years 9 months ago
2009
IEEE
—This paper proposes a method of learning a similarity matrix from pairwise constraints for interactive clustering. The similarity matrix can be learned by solving an optimizatio...
137
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CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...