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ML
2006
ACM
163views Machine Learning» more  ML 2006»
15 years 7 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
ITA
2007
153views Communications» more  ITA 2007»
15 years 7 months ago
Deciding inclusion of set constants over infinite non-strict data structures
Abstract. Various static analyses of functional programming languages that permit infinite data structures make use of set constants like Top, Inf, and Bot, denoting all terms, al...
Manfred Schmidt-Schauß, David Sabel, Marko S...
CORR
2007
Springer
111views Education» more  CORR 2007»
15 years 7 months ago
A New Perspective on Multi-user Power Control Games in Interference Channels
This paper considers the problem of how to allocate power among competing users sharing a frequency-selective interference channel. We model the interaction between these selfish ...
Yi Su, Mihaela van der Schaar
TIP
2002
107views more  TIP 2002»
15 years 6 months ago
Dequantizing image orientation
Abstract--We address the problem of computing a local orientation map in a digital image. We show that standard image gray level quantization causes a strong bias in the repartitio...
Agnès Desolneux, Saïd Ladjal, Lionel M...
NN
2007
Springer
106views Neural Networks» more  NN 2007»
15 years 6 months ago
Machine learning approach to color constancy
A number of machine learning (ML) techniques have recently been proposed to solve color constancy problem in computer vision. Neural networks (NNs) and support vector regression (...
Vivek Agarwal, Andrei V. Gribok, Mongi A. Abidi
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