619 search results - page 36 / 124 » A Kernel Method for the Two-Sample Problem |
139
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
104
Voted
NIPS
2004
15 years 4 months ago
2004
The problem of detecting "atypical objects" or "outliers" is one of the classical topics in (robust) statistics. Recently, it has been proposed to address this...
114
Voted
ICPR
2008
IEEE
15 years 9 months ago
2008
IEEE
Graph based semi-supervised learning methods (SSL) implicitly assume that the intrinsic geometry of the data points can be fully specified by an Euclidean distance based local ne...
138
Voted
BIOINFORMATICS
2005
15 years 2 months ago
2005
Motivation: Remote homology detection between protein sequences is a central problem in computational biology. Supervised learning algorithms based on support vector machines are ...
109
Voted
ICIP
2006
IEEE
16 years 4 months ago
2006
IEEE
A novel local blur estimation method is presented in the paper. Focal blur process is usually modeled as a Gaussian low-pass filtering and then the problem of blur estimation is t...