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» Lower Bounds on the Size of Test Data Sets
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ICML
2004
IEEE
14 years 8 months ago
Improving SVM accuracy by training on auxiliary data sources
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
Pengcheng Wu, Thomas G. Dietterich
BMCBI
2004
113views more  BMCBI 2004»
13 years 7 months ago
Leveraging two-way probe-level block design for identifying differential gene expression with high-density oligonucleotide array
Background: To identify differentially expressed genes across experimental conditions in oligonucleotide microarray experiments, existing statistical methods commonly use a summar...
Leah Barrera, Chris Benner, Yong-Chuan Tao, Elizab...
ICML
2001
IEEE
14 years 8 months ago
Smoothed Bootstrap and Statistical Data Cloning for Classifier Evaluation
This work is concerned with the estimation of a classifier's accuracy. We first review some existing methods for error estimation, focusing on cross-validation and bootstrap,...
Gregory Shakhnarovich, Ran El-Yaniv, Yoram Baram
BMCBI
2010
175views more  BMCBI 2010»
13 years 7 months ago
Calibur: a tool for clustering large numbers of protein decoys
Background: Ab initio protein structure prediction methods generate numerous structural candidates, which are referred to as decoys. The decoy with the most number of neighbors of...
Shuai Cheng Li, Yen Kaow Ng
PODS
1995
ACM
124views Database» more  PODS 1995»
13 years 11 months ago
Window Query-Optimal Clustering of Spatial Objects
During the last decade various spatial data structures have been designed and compared against each other with respect to their performance. Still missing is a lower bound result,...
Bernd-Uwe Pagel, Hans-Werner Six, Mario Winter