1860 search results - page 133 / 372 » Boosting Methods for Regression |
IJCAI
1997
13 years 11 months ago
1997
Propositional STRIPS planning problems can be viewed as finite state automata (FSAs) represented in a factored form. Automaton minimization is a well-known technique for reducing ...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
Symbolic regression is a popular genetic programming (GP) application. Typically, the fitness function for this task is based on a sum-of-errors, involving the values of the depe...
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
The least-absolute shrinkage and selection operator (Lasso) is a popular tool for joint estimation and continuous variable selection, especially well-suited for the under-determin...
CSDA
2007
13 years 10 months ago
2007
Partial F tests play a central role in model selections in multiple linear regression models. This paper studies the partial F tests from the view point of simultaneous confidence...
TIP
2008
13 years 10 months ago
2008
Abstract--Local learning methods, such as local linear regression and nearest neighbor classifiers, base estimates on nearby training samples, neighbors. Usually, the number of nei...