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» Learning from Multiple Sources of Inaccurate Data
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BMCBI
2008
160views more  BMCBI 2008»
15 years 2 months ago
Predicting cancer involvement of genes from heterogeneous data
Background: Systematic approaches for identifying proteins involved in different types of cancer are needed. Experimental techniques such as microarrays are being used to characte...
Ramon Aragues, Chris Sander, Baldo Oliva
144
Voted
ESWA
2007
178views more  ESWA 2007»
15 years 2 months ago
Educational data mining: A survey from 1995 to 2005
ct 7 Currently there is an increasing interest in data mining and educational systems, making educational data mining as a new growing 8 research community. This paper surveys the ...
Cristóbal Romero, Sebastián Ventura
186
Voted
MSR
2006
ACM
15 years 8 months ago
Predicting defect densities in source code files with decision tree learners
With the advent of open source software repositories the data available for defect prediction in source files increased tremendously. Although traditional statistics turned out t...
Patrick Knab, Martin Pinzger, Abraham Bernstein
133
Voted
CIDR
2009
141views Algorithms» more  CIDR 2009»
15 years 3 months ago
Sailing the Information Ocean with Awareness of Currents: Discovery and Application of Source Dependence
The Web has enabled the availability of a huge amount of useful information, but has also eased the ability to spread false information and rumors across multiple sources, making ...
Laure Berti-Equille, Anish Das Sarma, Xin Dong, Am...
123
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RSS
2007
135views Robotics» more  RSS 2007»
15 years 4 months ago
Learning omnidirectional path following using dimensionality reduction
Abstract— We consider the task of omnidirectional path following for a quadruped robot: moving a four-legged robot along any arbitrary path while turning in any arbitrary manner....
J. Zico Kolter, Andrew Y. Ng