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ICML
2005
IEEE
16 years 2 days ago
Learning class-discriminative dynamic Bayesian networks
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...
John Burge, Terran Lane
ICML
2004
IEEE
16 years 2 days ago
Improving SVM accuracy by training on auxiliary data sources
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
Pengcheng Wu, Thomas G. Dietterich
ICSE
2008
IEEE-ACM
16 years 2 days ago
Granularity in software product lines
Building software product lines (SPLs) with features is a challenging task. Many SPL implementations support features with coarse granularity ? e.g., the ability to add and wrap e...
Christian Kästner, Martin Kuhlemann, Sven Ape...
SIGSOFT
2008
ACM
16 years 8 hour ago
Deriving input syntactic structure from execution
Program input syntactic structure is essential for a wide range of applications such as test case generation, software debugging and network security. However, such important info...
Zhiqiang Lin, Xiangyu Zhang
SIGSOFT
2008
ACM
16 years 8 hour ago
Experience in using a process language to define scientific workflow and generate dataset provenance
This paper describes our experiences in exploring the applicability of software engineering approaches to scientific data management problems. Specifically, this paper describes h...
Leon J. Osterweil, Lori A. Clarke, Aaron M. Elliso...
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