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CORR
2008
Springer
74views Education» more  CORR 2008»
13 years 4 months ago
Biased Range Trees
A data structure, called a biased range tree, is presented that preprocesses a set S of n points in R2 and a query distribution D for 2-sided orthogonal range counting queries. The...
Vida Dujmovic, John Howat, Pat Morin
CVPR
2004
IEEE
14 years 6 months ago
Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine
We consider the problem of the binary classification on imbalanced data, in which nearly all the instances are labelled as one class, while far fewer instances are labelled as the...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
BMCBI
2004
97views more  BMCBI 2004»
13 years 4 months ago
Calibration and assessment of channel-specific biases in microarray data with extended dynamical range
Background: Non-linearities in observed log-ratios of gene expressions, also known as intensity dependent log-ratios, can often be accounted for by global biases in the two channe...
Henrik Bengtsson, Göran Jönsson, Johan V...
ICML
1999
IEEE
14 years 5 months ago
Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees
Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting
ISRR
2005
Springer
111views Robotics» more  ISRR 2005»
13 years 10 months ago
Bias Reduction and Filter Convergence for Long Range Stereo
We are concerned here with improving long range stereo by filtering image sequences. Traditionally, measurement errors from stereo camera systems have been approximated as 3-D Gau...
Gabe Sibley, Larry Matthies, Gaurav S. Sukhatme