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89
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ML
2006
ACM
163views Machine Learning» more  ML 2006»
14 years 10 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
93
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NECO
2006
157views more  NECO 2006»
14 years 10 months ago
Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
Durga L. Shrestha, Dimitri P. Solomatine
SIAMSC
2008
97views more  SIAMSC 2008»
14 years 10 months ago
Numerical Methods for Computing Nonlinear Eigenpairs: Part II. Non-Iso-Homogeneous Cases
Standing (solitary)-wave/steady-state solutions in many nonlinear wave motions and Schrodinger flows lead to nonlinear eigenproblems. In [X. Yao and J. Zhou, SIAM J. Sci. Comput., ...
Xudong Yao, Jianxin Zhou
85
Voted
SIAMSC
2008
146views more  SIAMSC 2008»
14 years 10 months ago
A Continuous Interior Penalty Method for Viscoelastic Flows
In this paper we consider a finite element discretization of the Oldroyd-B model of viscoelastic flows. The method uses standard continuous polynomial finite element spaces for vel...
Andrea Bonito, Erik Burman
SIAMSC
2008
104views more  SIAMSC 2008»
14 years 10 months ago
Deblurring Methods Using Antireflective Boundary Conditions
In this note we consider the numerical solution of selfadjoint deblurring problems on bounded intervals. For these problems it has recently been shown that appropriate modelling of...
Martin Christiansen, Martin Hanke