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» Nonlinear functional regression: a functional RKHS approach
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KDD
2005
ACM
143views Data Mining» more  KDD 2005»
15 years 10 months ago
SVM selective sampling for ranking with application to data retrieval
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
Hwanjo Yu
ICST
2010
IEEE
14 years 8 months ago
Automated Behavioral Regression Testing
—When a program is modified during software evolution, developers typically run the new version of the program against its existing test suite to validate that the changes made ...
Wei Jin, Alessandro Orso, Tao Xie
ICCAD
2004
IEEE
145views Hardware» more  ICCAD 2004»
15 years 6 months ago
Asymptotic probability extraction for non-normal distributions of circuit performance
While process variations are becoming more significant with each new IC technology generation, they are often modeled via linear regression models so that the resulting performanc...
Xin Li, Jiayong Le, Padmini Gopalakrishnan, Lawren...
ICML
2008
IEEE
15 years 10 months ago
Detecting statistical interactions with additive groves of trees
Discovering additive structure is an important step towards understanding a complex multi-dimensional function because it allows the function to be expressed as the sum of lower-d...
Daria Sorokina, Rich Caruana, Mirek Riedewald, Dan...
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BMCBI
2010
172views more  BMCBI 2010»
14 years 10 months ago
Inferring gene regression networks with model trees
Background: Novel strategies are required in order to handle the huge amount of data produced by microarray technologies. To infer gene regulatory networks, the first step is to f...
Isabel A. Nepomuceno-Chamorro, Jesús S. Agu...