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» Boosting Methods for Regression
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PAKDD
2001
ACM
104views Data Mining» more  PAKDD 2001»
14 years 2 months ago
Optimizing the Induction of Alternating Decision Trees
The alternating decision tree brings comprehensibility to the performance enhancing capabilities of boosting. A single interpretable tree is induced wherein knowledge is distribute...
Bernhard Pfahringer, Geoffrey Holmes, Richard Kirk...
UAI
2004
13 years 11 months ago
An Extended Cencov-Campbell Characterization of Conditional Information Geometry
We formulate and prove an axiomatic characterization of conditional information geometry, for both the normalized and the nonnormalized cases. This characterization extends the ax...
Guy Lebanon
MVA
2007
114views Computer Vision» more  MVA 2007»
13 years 11 months ago
Sign Language Recognition Using Boosted Volumetric Features
This paper proposes a method for sign language recognition that bypasses the need for tracking by classifying the motion directly. The method uses the natural extension of haar li...
Helen Cooper, Richard Bowden
CSDA
2006
97views more  CSDA 2006»
13 years 9 months ago
Bandwidth selection for a class of difference-based variance estimators in the nonparametric regression: A possible approach
A possible approach to bandwidth selection for difference-based variance estimators in the nonparametric regression is proposed. The approach is based on the crossvalidation-type ...
M. Levine
ICDM
2008
IEEE
182views Data Mining» more  ICDM 2008»
14 years 4 months ago
Multiple-Instance Regression with Structured Data
We present a multiple-instance regression algorithm that models internal bag structure to identify the items most relevant to the bag labels. Multiple-instance regression (MIR) op...
Kiri L. Wagstaff, Terran Lane, Alex Roper