153 search results - page 21 / 31 » Supervised feature selection via dependence estimation |
ICML
1994
IEEE
13 years 11 months ago
1994
IEEE
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
JMLR
2011
13 years 2 months ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
IJON
2010
13 years 5 months ago
2010
Radiation-induced lung injury, radiation pneumonitis (RP), is a potentially fatal side-effect of thoracic radiation therapy. In this work, using an ensemble of support vector mac...
FLAIRS
2000
13 years 8 months ago
2000
The design of an optimal Bayesian classifier for multiple features is dependent on the estimation of multidimensional joint probability density functions and therefore requires a ...