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165
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VMV
2008
15 years 8 months ago
2008
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
194
Voted
UAI
1997
15 years 8 months ago
1997
Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distribution...
180
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AIPS
2009
15 years 8 months ago
2009
It has long been recognized that users can have complex preferences on plans. Non-intrusive learning of such preferences by observing the plans executed by the user is an attracti...
199
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CVPR
2010
IEEE
15 years 7 months ago
2010
IEEE
We propose a new algorithm for learning kernels for variants of the Normalized Cuts (NCuts) objective – i.e., given a set of training examples with known partitions, how should ...
196
Voted
NN
2006
Springer
15 years 6 months ago
2006
Springer
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...