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DSMML
2004
Springer
15 years 8 months ago
Extensions of the Informative Vector Machine
The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...
Neil D. Lawrence, John C. Platt, Michael I. Jordan
ISQED
2003
IEEE
119views Hardware» more  ISQED 2003»
15 years 8 months ago
System and Framework for QA of Process Design Kits
In this paper, we evaluate the dependencies between tools, data and environment in process design kits, and present a framework for systematically analyzing the quality of the des...
M. C. Scott, M. O. Peralta, Jo Dale Carothers
LWA
2007
15 years 4 months ago
Meta-Learning Rule Learning Heuristics
The goal of this paper is to investigate to what extent a rule learning heuristic can be learned from experience. Our basic approach is to learn a large number of rules and record ...
Frederik Janssen, Johannes Fürnkranz
ISSTA
2010
ACM
15 years 6 months ago
On test repair using symbolic execution
When developers change a program, regression tests can fail not only due to faults in the program but also due to outof-date test code that does not reflect the desired behavior ...
Brett Daniel, Tihomir Gvero, Darko Marinov
SAC
2011
ACM
14 years 5 months ago
An empirical study on the effectiveness of time-aware test case prioritization techniques
Regression testing is often performed with a time budget and it does not allow executing all test cases. Test case prioritization techniques re-order test cases to increase the ra...
Dongjiang You, Zhenyu Chen, Baowen Xu, Bin Luo, Ch...