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122
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TCBB
2010
89views more  TCBB 2010»
15 years 2 months ago
Model Composition for Macromolecular Regulatory Networks
—Models of regulatory networks become more difficult to construct and understand as they grow in size and complexity. Large models are usually built up from smaller models, repre...
Ranjit Randhawa, Clifford A. Shaffer, John J. Tyso...
163
Voted
METMBS
2003
255views Mathematics» more  METMBS 2003»
15 years 6 months ago
Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...
Constantin F. Aliferis, Ioannis Tsamardinos, Alexa...
126
Voted
INFOCOM
2011
IEEE
14 years 8 months ago
Making sense of customer tickets in cellular networks
—Effective management of large-scale cellular data networks is critical to meet customer demands and expectations. Customer calls for technical support provide direct indication ...
Yu Jin, Nick G. Duffield, Alexandre Gerber, Patric...
145
Voted
ICSE
2009
IEEE-ACM
16 years 5 months ago
Refactoring sequential Java code for concurrency via concurrent libraries
Parallelizing existing sequential programs to run efficiently on multicores is hard. The Java 5 package java.util.concurrent (j.u.c.) supports writing concurrent programs: much of...
Danny Dig, John Marrero, Michael D. Ernst
ML
2006
ACM
113views Machine Learning» more  ML 2006»
15 years 10 months ago
A separate compilation extension to standard ML
We present an extension to Standard ML, called SMLSC, to support separate compilation. The system gives meaning to individual program fragments, called units. Units may depend on ...
David Swasey, Tom Murphy VII, Karl Crary, Robert H...