144 search results - page 27 / 29 » Variable selection using random forests |
EUROCAST
2007
Springer
14 years 26 days ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
MICRO
2008
IEEE
14 years 1 months ago
2008
IEEE
Heavyweight security analysis systems, such as taint analysis and dynamic type checking, are powerful technologies used to detect security vulnerabilities and software bugs. Tradi...
EC
2006
13 years 6 months ago
2006
The frequency with which various elements of the search space of a given evolutionary algorithm are sampled is affected by the family of recombination (reproduction) operators. Th...
JMLR
2011
13 years 1 months ago
2011
While most supervised machine learning models assume that training examples are sampled at random or adversarially, this article is concerned with models of learning from a cooper...
SIAMCOMP
2002
13 years 6 months ago
2002
We characterize all limit laws of the quicksort type random variables defined recursively by Xn d = XIn + X n-1-In + Tn when the "toll function" Tn varies and satisfies ...