221 search results - page 35 / 45 » Random Convolution Ensembles |
ECSQARU
2009
Springer
14 years 4 months ago
2009
Springer
To explore the Perturb and Combine idea for estimating probability densities, we study mixtures of tree structured Markov networks derived by bagging combined with the Chow and Liu...
AUSDM
2006
Springer
14 years 1 months ago
2006
Springer
In response to the rapid development of DNA Microarray technology, many classification methods have been used for Microarray classification. SVMs, decision trees, Bagging, Boostin...
CORR
2010
Springer
13 years 10 months ago
2010
Springer
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of random measurements. Existing results in compressed sens...
ICML
2007
IEEE
14 years 10 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 ...
STOC
2007
ACM
14 years 10 months ago
2007
ACM
Compressed Sensing is a new paradigm for acquiring the compressible signals that arise in many applications. These signals can be approximated using an amount of information much ...