1455 search results - page 64 / 291 » Exploiting Myopic Learning |
AAAI
2007
15 years 2 months ago
2007
In semi-supervised learning, a number of labeled examples are usually required for training an initial weakly useful predictor which is in turn used for exploiting the unlabeled e...
NIPS
2007
15 years 1 months ago
2007
We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
FLAIRS
2001
15 years 1 months ago
2001
When constructing a Bayesian network, it can be advantageous to employ structural learning algorithms to combine knowledge captured in databases with prior information provided by...
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CVPR
2011
IEEE
14 years 7 months ago
2011
IEEE
We propose a new learning method which exploits temporal consistency to successfully learn a complex appearance model from a sparsely labeled training video. Our approach consists...
ICML
2009
IEEE
16 years 20 days ago
2009
IEEE
Previous studies on multi-instance learning typically treated instances in the bags as independently and identically distributed. The instances in a bag, however, are rarely indep...