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» Models for Data-Flow Sequential Processes
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IPPS
2006
IEEE
15 years 7 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 8 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 3 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 2 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 7 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