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PROMISE
2010
14 years 9 months ago
Defect cost flow model: a Bayesian network for predicting defect correction effort
Background. Software defect prediction has been one of the central topics of software engineering. Predicted defect counts have been used mainly to assess software quality and est...
Thomas Schulz, Lukasz Radlinski, Thomas Gorges, Wo...
JC
2006
115views more  JC 2006»
15 years 2 months ago
Randomly shifted lattice rules on the unit cube for unbounded integrands in high dimensions
We study the problem of multivariate integration on the unit cube for unbounded integrands. Our study is motivated by problems in statistics and mathematical finance, where unboun...
Benjamin J. Waterhouse, Frances Y. Kuo, Ian H. Slo...
129
Voted
SIAMJO
2008
104views more  SIAMJO 2008»
15 years 2 months ago
A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance
This paper concerns a fractional function of the form xT a/ xT Bx, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, an...
Seung-Jean Kim, Stephen P. Boyd
133
Voted
IWPC
1998
IEEE
15 years 6 months ago
Archetypal Source Code Searches: A Survey of Software Developers and Maintainers
In this study, we conducted a survey to generate archetypes of source code searching by programmers across maintenance tasks. Using a questionnaire on a web page, we obtained 69 r...
Susan Elliott Sim, Charles L. A. Clarke, Richard C...
TNN
2010
234views Management» more  TNN 2010»
14 years 9 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes