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ML
2006
ACM
163views Machine Learning» more  ML 2006»
14 years 11 months ago
Extremely randomized trees
Abstract This paper proposes a new tree-based ensemble method for supervised classification and regression problems. It essentially consists of randomizing strongly both attribute ...
Pierre Geurts, Damien Ernst, Louis Wehenkel
NAR
2006
59views more  NAR 2006»
14 years 11 months ago
GenDecoder: genetic code prediction for metazoan mitochondria
Although the majority of the organisms use the same genetic code to translate DNA, several variants have been described in a wide range of organisms, both in nuclear and organella...
Federico Abascal, Rafael Zardoya, David Posada
PRL
2006
78views more  PRL 2006»
14 years 11 months ago
The interaction between classification and reject performance for distance-based reject-option classifiers
Consider the class of problems in which a target class is well-defined, and an outlier class is ill-defined. In these cases new outlier classes can appear, or the class-conditiona...
Thomas Landgrebe, David M. J. Tax, Pavel Pacl&iacu...
TCBB
2008
126views more  TCBB 2008»
14 years 11 months ago
Combinatorial Approaches for Mass Spectra Recalibration
Mass spectrometry has become one of the most popular analysis techniques in Proteomics and Systems Biology. With the creation of larger data sets, the automated recalibration of ma...
Sebastian Böcker, Veli Mäkinen
TEC
2008
118views more  TEC 2008»
14 years 11 months ago
RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm
Under mild conditions, it can be induced from the Karush-Kuhn-Tucker condition that the Pareto set, in the decision space, of a continuous multiobjective optimization problem is (m...
Qingfu Zhang, Aimin Zhou, Yaochu Jin