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178
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BMCBI
2007
194views more  BMCBI 2007»
15 years 3 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
132
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POPL
2012
ACM
13 years 11 months ago
A compiler and run-time system for network programming languages
Software-defined networks (SDNs) are a new implementation architecture in which a controller machine manages a distributed collection of switches, by instructing them to install ...
Christopher Monsanto, Nate Foster, Rob Harrison, D...
121
Voted
CASES
2003
ACM
15 years 9 months ago
A control-theoretic approach to dynamic voltage scheduling
The development of energy-conscious embedded and/or mobile systems exposes a trade-off between energy consumption and system performance. Recent microprocessors have incorporated ...
Ankush Varma, Brinda Ganesh, Mainak Sen, Suchismit...
127
Voted
BMCBI
2008
169views more  BMCBI 2008»
15 years 3 months ago
A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification
Background: Cancer diagnosis and clinical outcome prediction are among the most important emerging applications of gene expression microarray technology with several molecular sig...
Alexander R. Statnikov, Lily Wang, Constantin F. A...
136
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EDBT
1990
ACM
108views Database» more  EDBT 1990»
15 years 7 months ago
Deductive Databases - Theory Meets Practice
Deductive Databases are coming of age with the emergence of efficient and easy to use systems that support queries, reasoning, and application development on databases through dec...
Carlo Zaniolo