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» An Empirical Study of Regression Test Selection Techniques
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ECML
2006
Springer
13 years 11 months ago
Transductive Gaussian Process Regression with Automatic Model Selection
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
Quoc V. Le, Alexander J. Smola, Thomas Gärtne...
GECCO
2008
Springer
172views Optimization» more  GECCO 2008»
13 years 9 months ago
Empirical analysis of a genetic algorithm-based stress test technique
Evolutionary testing denotes the use of evolutionary algorithms, e.g., Genetic Algorithms (GAs), to support various test automation tasks. Since evolutionary algorithms are heuris...
Vahid Garousi
ICMCS
1998
IEEE
113views Multimedia» more  ICMCS 1998»
14 years 4 days ago
An Empirical Study of Color-Spatial Retrieval Techniques for Large Image Databases
In this paper, we present an experimental evaluation of three color-spatial retrieval techniques -- the signaturebased technique, the partition-based algorithm and the cluster-bas...
Chia Yeow Yee, Kian-Lee Tan, Tat-Seng Chua, Beng C...
JMLR
2010
130views more  JMLR 2010»
13 years 2 months ago
A Regularization Approach to Nonlinear Variable Selection
In this paper we consider a regularization approach to variable selection when the regression function depends nonlinearly on a few input variables. The proposed method is based o...
Lorenzo Rosasco, Matteo Santoro, Sofia Mosci, Ales...
MA
2010
Springer
135views Communications» more  MA 2010»
13 years 6 months ago
Nonparametric comparison of regression functions
In this work we provide a new methodology for comparing regression functions m1 and m2 from two samples. Since apart from smoothness no other (parametric) assumptions are required...
Ramidha Srihera, Winfried Stute