5302 search results - page 80 / 1061 » Learning How to Separate |
129
click to vote
COLT
2005
Springer
15 years 9 months ago
2005
Springer
We consider the problem of learning mixtures of distributions via spectral methods and derive a tight characterization of when such methods are useful. Specifically, given a mixt...
128
Voted
NIPS
2007
15 years 4 months ago
2007
This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...
135
click to vote
AAAI
2006
15 years 4 months ago
2006
Learning application-specific distance metrics from labeled data is critical for both statistical classification and information retrieval. Most of the earlier work in this area h...
114
Voted
ALT
2008
Springer
16 years 10 days ago
2008
Springer
This paper extends previous studies on learnability in non-acceptable numberings by considering the question: for which criteria which numberings are optimal, that is, for which nu...
126
Voted
ICMLA
2010
15 years 1 months ago
2010
Recently, the so-called Support Feature Machine (SFM) was proposed as a novel approach to feature selection for classification, based on minimisation of the zero norm of a separati...