329 search results - page 31 / 66 » Probably Approximately Correct Learning |
147
Voted
CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
116
Voted
AUSAI
2003
Springer
15 years 6 months ago
2003
Springer
We investigate why discretization is effective in naive-Bayes learning. We prove a theorem that identifies particular conditions under which discretization will result in naiveBay...
125
Voted
IJCAI
1993
15 years 3 months ago
1993
In this paper we present an average-case analysis of the nearest neighbor algorithm, a simple induction method that has been studied by manyresearchers. Our analysis assumes a con...
131
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WACV
2005
IEEE
15 years 8 months ago
2005
IEEE
A global parametric shape model (boundary) of the object is optimized according to evidence accumulated from local features and the prior probability of the model parameters learn...
93
Voted
ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
Attribute interactions are the irreducible dependencies between attributes. Interactions underlie feature relevance and selection, the structure of joint probability and classific...