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» Models for Data-Flow Sequential Processes
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IPPS
2006
IEEE
15 years 10 months ago
Parallelization of module network structure learning and performance tuning on SMP
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
Hongshan Jiang, Chunrong Lai, Wenguang Chen, Yuron...
IHI
2010
132views Healthcare» more  IHI 2010»
14 years 11 months ago
Section classification in clinical notes using supervised hidden markov model
As more and more information is available in the Electronic Health Record in the form of free-text narrative, there is a need for automated tools, which can process and understand...
Ying Li, Sharon Lipsky Gorman, Noemie Elhadad
PLDI
2012
ACM
13 years 6 months ago
Dynamic synthesis for relaxed memory models
Modern architectures implement relaxed memory models which may reorder memory operations or execute them non-atomically. Special instructions called memory fences are provided, al...
Feng Liu, Nayden Nedev, Nedyalko Prisadnikov, Mart...
WOTUG
2008
15 years 5 months ago
Representation and Implementation of CSP and VCR Traces
Abstract. Communicating Sequential Processes (CSP) was developed around a formal algebra of processes and a semantics based on traces (and failures and divergences). A trace is a r...
Neil C. C. Brown, Marc L. Smith
FCT
2005
Springer
15 years 9 months ago
The Complexity of Querying External Memory and Streaming Data
We review a recently introduced computation model for streaming and external memory data. An important feature of this model is that it distinguishes between sequentially reading (...
Martin Grohe, Christoph Koch, Nicole Schweikardt