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QEST
2006
IEEE
15 years 11 months ago
Bound-Preserving Composition for Markov Reward Models
Stochastic orders can be applied to Markov reward models and used to aggregate models, while introducing a bounded error. Aggregation reduces the number of states in a model, miti...
David Daly, Peter Buchholz, William H. Sanders
SIGMOD
2008
ACM
193views Database» more  SIGMOD 2008»
16 years 5 months ago
Efficient provenance storage
Scientific workflow systems are increasingly used to automate complex data analyses, largely due to their benefits over traditional approaches for workflow design, optimization, a...
Adriane Chapman, H. V. Jagadish, Prakash Ramanan
ICWS
2010
IEEE
15 years 6 months ago
Extending BPMN for Supporting Customer-Facing Service Quality Requirements
Service-oriented computing promises to create flexible business processes and applications on demand by dynamically assembling loosely coupled services within and across organizati...
Kawther Saeedi, Liping Zhao, Pedro R. Falcone Samp...
BMCBI
2007
125views more  BMCBI 2007»
15 years 5 months ago
Bayesian meta-analysis models for microarray data: a comparative study
Background: With the growing abundance of microarray data, statistical methods are increasingly needed to integrate results across studies. Two common approaches for meta-analysis...
Erin M. Conlon, Joon J. Song, Anna Liu
BMCBI
2011
14 years 12 months ago
Empirical Bayesian models for analysing molecular serotyping microarrays
Background: Microarrays offer great potential as a platform for molecular diagnostics, testing clinical samples for the presence of numerous biomarkers in highly multiplexed assay...
Richard Newton, Jason Hinds, Lorenz Wernisch