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» Estimating query performance using class predictions
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ICDE
2010
IEEE
292views Database» more  ICDE 2010»
14 years 7 months ago
Exploring Power-Performance Tradeoffs in Database Systems
With the total energy consumption of computing systems increasing in a steep rate, much attention has been paid to the design of energy-efficient computing systems and applications...
Zichen Xu, Yi-Cheng Tu, Xiaorui Wang
BIBM
2010
IEEE
139views Bioinformatics» more  BIBM 2010»
13 years 5 months ago
Scalable, updatable predictive models for sequence data
The emergence of data rich domains has led to an exponential growth in the size and number of data repositories, offering exciting opportunities to learn from the data using machin...
Neeraj Koul, Ngot Bui, Vasant Honavar
MICCAI
2010
Springer
13 years 6 months ago
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...
DIS
2009
Springer
14 years 2 months ago
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Yasser El-Manzalawy, Vasant Honavar
CLUSTER
2008
IEEE
13 years 7 months ago
Performance prediction with skeletons
The performance skeleton of an application is a short running program whose performance in any scenario reflects the performance of the application it represents. Specifically, th...
Sukhdeep Sodhi, Jaspal Subhlok, Qiang Xu