4591 search results - page 272 / 919 » Learning from Dyadic Data |
168
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CVPR
2010
IEEE
16 years 3 months ago
2010
IEEE
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...
173
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CIMCA
2005
IEEE
16 years 9 days ago
2005
IEEE
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
166
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FLAIRS
2007
15 years 9 months ago
2007
CONDORCKD is a system implementing a novel approach to discovering knowledge from data. It addresses the issue of relevance of the learned rules by algebraic means and explicitly ...
193
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EUSFLAT
2003
15 years 8 months ago
2003
This paper proposes a method for Bayesian networks that handles uncertainty and discretization of continuous variables when learning the networks from a database of cases. The dat...
175
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CBMS
2006
IEEE
16 years 23 days ago
2006
IEEE
The growing availability of high throughput measurement devices in the operating room makes possible the collection of a huge amount of data about the state of the patient and the...