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» Dynamic power management using machine learning
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144
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GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
15 years 9 months ago
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation
Surrogate-Assisted Memetic Algorithm(SAMA) is a hybrid evolutionary algorithm, particularly a memetic algorithm that employs surrogate models in the optimization search. Since mos...
Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendh...
135
Voted
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
16 years 3 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
132
Voted
ECLIPSE
2005
ACM
15 years 5 months ago
Coping with an open bug repository
Most open source software development projects include an open bug repository—one to which users of the software can gain full access—that is used to report and track problems...
John Anvik, Lyndon Hiew, Gail C. Murphy
CIKM
2009
Springer
15 years 10 months ago
L2 norm regularized feature kernel regression for graph data
Features in many real world applications such as Cheminformatics, Bioinformatics and Information Retrieval have complex internal structure. For example, frequent patterns mined fr...
Hongliang Fei, Jun Huan
145
Voted
IPPS
2006
IEEE
15 years 9 months ago
Trust overlay networks for global reputation aggregation in P2P grid computing
1 This paper presents a new approach to trusted Grid computing in a Peer-to-Peer (P2P) setting. Trust and security are essential to establish lasting working relationships among th...
Runfang Zhou, Kai Hwang