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» A robust randomized algorithm to perform independent tasks
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ML
2006
ACM
163views Machine Learning» more  ML 2006»
13 years 8 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
ICRA
2007
IEEE
125views Robotics» more  ICRA 2007»
14 years 2 months ago
Single-Query Motion Planning with Utility-Guided Random Trees
— Randomly expanding trees are very effective in exploring high-dimensional spaces. Consequently, they are a powerful algorithmic approach to sampling-based single-query motion p...
Brendan Burns, Oliver Brock
CIAC
2006
Springer
84views Algorithms» more  CIAC 2006»
14 years 11 days ago
In-Place Randomized Slope Selection
Slope selection is a well-known algorithmic tool used in the context of computing robust estimators for fitting a line to a collection P of n points in the plane. We demonstrate th...
Henrik Blunck, Jan Vahrenhold
ICML
2008
IEEE
14 years 9 months ago
Reinforcement learning in the presence of rare events
We consider the task of reinforcement learning in an environment in which rare significant events occur independently of the actions selected by the controlling agent. If these ev...
Jordan Frank, Shie Mannor, Doina Precup
ICASSP
2010
IEEE
13 years 8 months ago
Robust speaker identification using an auditory-based feature
An auditory-based feature extraction algorithm is presented. The feature is based on a recently published time-frequency transform plus a set of modules to simulate the signal pro...
Qi Li, Yan Huang