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DSMML
2004
Springer
14 years 2 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»
14 years 2 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
13 years 10 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
14 years 20 days 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
12 years 11 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...