6 search results - page 1 / 2 » Sparseness Versus Estimating Conditional Probabilities: Some... |
COLT
2004
Springer
13 years 10 months ago
2004
Springer
One of the nice properties of kernel classifiers such as SVMs is that they often produce sparse solutions. However, the decision functions of these classifiers cannot always be u...
TIT
1998
13 years 4 months ago
1998
—Probability models are estimated by use of penalized log-likelihood criteria related to AIC and MDL. The accuracies of the density estimators are shown to be related to the trad...
MA
2010
Springer
13 years 3 months ago
2010
Springer
: Semiparametric linear transformation models have received much attention due to its high flexibility in modeling survival data. A useful estimating equation procedure was recent...
PAMI
2006
13 years 4 months ago
2006
Nonparametric neighborhood methods for learning entail estimation of class conditional probabilities based on relative frequencies of samples that are "near-neighbors" of...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of measurements. The results in the literature have focuse...