98 search results - page 15 / 20 » Adaptively Learning the Crowd Kernel |
NIPS
2007
13 years 9 months ago
2007
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
ICIP
2008
IEEE
14 years 10 months ago
2008
IEEE
Subspace learning techniques are widespread in pattern recognition research. They include PCA, ICA, LPP, etc. These techniques are generally linear and unsupervised. The problem o...
ECML
2006
Springer
14 years 2 days ago
2006
Springer
Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...
ML
2012
ACM
12 years 4 months ago
2012
ACM
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
ML
2010
ACM
13 years 6 months ago
2010
ACM
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...