1412 search results - page 135 / 283 » Selectivity Estimation using Probabilistic Models |
137
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ICML
2010
IEEE
15 years 6 months ago
2010
IEEE
We address the problem of evaluating the risk of a given model accurately at minimal labeling costs. This problem occurs in situations in which risk estimates cannot be obtained f...
122
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NAACL
2004
15 years 6 months ago
2004
Supervised estimation methods are widely seen as being superior to semi and fully unsupervised methods. However, supervised methods crucially rely upon training sets that need to ...
139
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NIPS
2000
15 years 6 months ago
2000
A central issue in principal component analysis (PCA) is choosing the number of principal components to be retained. By interpreting PCA as density estimation, this paper shows ho...
118
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ICAPR
2005
Springer
15 years 10 months ago
2005
Springer
In this paper, we propose a method for 3D model indexing based on 2D views, named AVC (Adaptive Views Clustering). The goal of this method is to provide an optimal selection of 2D ...
147
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ICML
2009
IEEE
15 years 11 months ago
2009
IEEE
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...