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» A Boosting Algorithm for Regression
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ICDM
2008
IEEE
128views Data Mining» more  ICDM 2008»
14 years 2 months ago
Cost-Sensitive Parsimonious Linear Regression
We examine linear regression problems where some features may only be observable at a cost (e.g., in medical domains where features may correspond to diagnostic tests that take ti...
Robby Goetschalckx, Kurt Driessens, Scott Sanner
KDD
2002
ACM
118views Data Mining» more  KDD 2002»
14 years 9 months ago
SECRET: a scalable linear regression tree algorithm
Recently there has been an increasing interest in developing regression models for large datasets that are both accurate and easy to interpret. Regressors that have these properti...
Alin Dobra, Johannes Gehrke
CORR
2008
Springer
127views Education» more  CORR 2008»
13 years 8 months ago
Adaptive Base Class Boost for Multi-class Classification
We propose abc-boost (adaptive base class boost) for multi-class classification and present abc-mart, an implementation of abcboost, based on the multinomial logit model. The key ...
Ping Li
CVPR
2007
IEEE
14 years 10 months ago
Online Learning Asymmetric Boosted Classifiers for Object Detection
We present an integrated framework for learning asymmetric boosted classifiers and online learning to address the problem of online learning asymmetric boosted classifiers, which ...
Minh-Tri Pham, Tat-Jen Cham
ICPR
2010
IEEE
14 years 1 months ago
Active Boosting for Interactive Object Retrieval
This paper presents a new algorithm based on boosting for interactive object retrieval in images. Recent works propose ”online boosting” algorithms where weak classifier sets...
Alexis Lechervy, Philippe Henri Gosselin, Frederic...