1707 search results - page 117 / 342 » A Boosting Algorithm for Regression |
182
click to vote
ESANN
2006
15 years 5 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
120
click to vote
ICMCS
2010
IEEE
15 years 4 months ago
2010
IEEE
Speech processing is an important aspect of affective computing. Most research in this direction has focused on classifying emotions into a small number of categories. However, nu...
171
click to vote
JMLR
2002
15 years 3 months ago
2002
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
157
click to vote
SYNASC
2006
IEEE
15 years 10 months ago
2006
IEEE
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
117
click to vote
CSDA
2007
15 years 4 months ago
2007
A fast algorithm for calculating the simplicial depth of a single parameter vector of a polynomial regression model is derived. Additionally, an algorithm for calculating the para...