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» Feature Generation Using General Constructor Functions
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AMOST
2005
ACM
14 years 1 months ago
Using information about functions in selecting test cases
We consider the problem of generating a set of test cases from a black box specification. We focus on stress testing, i.e. picking test cases that seem most likely to reveal prog...
Markus Clermont, David Lorge Parnas
ECAI
2004
Springer
14 years 1 months ago
A Generalized Quadratic Loss for Support Vector Machines
The standard SVM formulation for binary classification is based on the Hinge loss function, where errors are considered not correlated. Due to this, local information in the featu...
Filippo Portera, Alessandro Sperduti
ICASSP
2008
IEEE
14 years 2 months ago
Discriminative feature weighting using MCE training for topic identification of spoken audio recordings
In this paper we investigate a discriminative approach to feature weighting for topic identification using minimum classification error (MCE) training. Our approach learns featu...
Timothy J. Hazen, Anna Margolis
ICONIP
2007
13 years 9 months ago
Using Generalization Error Bounds to Train the Set Covering Machine
In this paper we eliminate the need for parameter estimation associated with the set covering machine (SCM) by directly minimizing generalization error bounds. Firstly, we consider...
Zakria Hussain, John Shawe-Taylor
GPCE
2009
Springer
13 years 11 months ago
Mapping problem-space to solution-space features: a feature interaction approach
Mapping problem-space features into solution-space features is a fundamental configuration problem in software product line engineering. A configuration problem is defined as g...
Frans Sanen, Eddy Truyen, Wouter Joosen