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ICMLA
2009
13 years 5 months ago
Conditional Prediction Intervals for Linear Regression
Peter McCullagh, Vladimir Vovk, Ilia Nouretdinov, ...
CVPR
2012
IEEE
11 years 10 months ago
The Shape Boltzmann Machine: A strong model of object shape
A good model of object shape is essential in applications such as segmentation, object detection, inpainting and graphics. For example, when performing segmentation, local constra...
S. M. Ali Eslami, Nicolas Heess, John M. Winn
ICML
2007
IEEE
14 years 8 months ago
Sparse probabilistic classifiers
The scores returned by support vector machines are often used as a confidence measures in the classification of new examples. However, there is no theoretical argument sustaining ...
Romain Hérault, Yves Grandvalet
NIPS
1998
13 years 8 months ago
Shrinking the Tube: A New Support Vector Regression Algorithm
A new algorithm for Support Vector regression is described. For a priori chosen , it automatically adjusts a flexible tube of minimal radius to the data such that at most a fracti...
Bernhard Schölkopf, Peter L. Bartlett, Alex J...
MA
2010
Springer
86views Communications» more  MA 2010»
13 years 5 months ago
Tests for multiple regression based on simplicial depth
A general approach for developing distribution free tests for general linear models based on simplicial depth is applied to multiple regression. The tests are based on the asympto...
Robin Wellmann, Christine H. Müller