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ICANN
2005
Springer
15 years 9 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
ICSE
2000
IEEE-ACM
15 years 7 months ago
An empirical study of regression test application frequency
Regression testing is an expensive maintenance process used to revalidate modified software. Regression test selection (RTS) techniques attempt to reduce the cost of regression te...
Jung-Min Kim, Adam A. Porter, Gregg Rothermel
ECBS
2010
IEEE
230views Hardware» more  ECBS 2010»
15 years 7 months ago
A Model-Based Regression Testing Approach for Evolving Software Systems with Flexible Tool Support
Model-based selective regression testing promises reduction in cost and labour by selecting a subset of the test suite corresponding to the modifications after system evolution. H...
Qurat-ul-ann Farooq, Muhammad Zohaib Z. Iqbal, Zaf...
CIKM
2008
Springer
15 years 6 months ago
A sparse gaussian processes classification framework for fast tag suggestions
Tagged data is rapidly becoming more available on the World Wide Web. Web sites which populate tagging services offer a good way for Internet users to share their knowledge. An in...
Yang Song, Lu Zhang 0007, C. Lee Giles
TWC
2010
14 years 10 months ago
Optimized opportunistic multicast scheduling (OMS) over wireless cellular networks
Optimized opportunistic multicast scheduling (OMS) is studied for cellular networks, where the problem of efficiently transmitting a common set of fountain-encoded data from a sin...
Tze-Ping Low, Man-On Pun, Yao-Win Peter Hong, C.-C...