144 search results - page 6 / 29 » Variable selection using random forests |
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PREMI
2011
Springer
14 years 15 days ago
2011
Springer
Abstract. In this paper we approach feature set selection phase in signature verification by applying the method for selection of regression variables based on Mallows Cp criterio...
ICMLA
2008
14 years 11 months ago
2008
Using decision trees that split on randomly selected attributes is one way to increase the diversity within an ensemble of decision trees. Another approach increases diversity by ...
BMCBI
2008
14 years 9 months ago
2008
Background: With the advent of high throughput biotechnology data acquisition platforms such as micro arrays, SNP chips and mass spectrometers, data sets with many more variables ...
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AAAI
1997
14 years 11 months ago
1997
One of the important components of a local search strategy for satisfiability testing is the variable selection heuristic, which determines the next variable to be flipped. In a...
ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and conditional random fiel...