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BMCBI
2006
119views more  BMCBI 2006»
13 years 8 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
VLDB
2002
ACM
110views Database» more  VLDB 2002»
13 years 8 months ago
Extending an ORDBMS: The StateMachine Module
Extensibility is one of the mayor benefits of object-relational database management systems. We have used this system property to implement a StateMachine Module inside an object-...
Wolfgang Mahnke, Christian Mathis, Hans-Peter Stei...
PVLDB
2008
182views more  PVLDB 2008»
13 years 8 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
SAC
2008
ACM
13 years 8 months ago
Computational methods for complex stochastic systems: a review of some alternatives to MCMC
We consider analysis of complex stochastic models based upon partial information. MCMC and reversible jump MCMC are often the methods of choice for such problems, but in some situ...
Paul Fearnhead
ICWS
2009
IEEE
14 years 5 months ago
RDF Data-Centric Storage
—The vision of the Semantic Web has brought about new challenges at the intersection of web research and data management. One fundamental research issue at this intersection is t...
Justin J. Levandoski, Mohamed F. Mokbel