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» A stochastic model for the evolution of the Web
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UAI
2003
13 years 9 months ago
Learning Continuous Time Bayesian Networks
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
Uri Nodelman, Christian R. Shelton, Daphne Koller
OSDI
2008
ACM
14 years 8 months ago
Probabilistic Inference in Queueing Networks
Although queueing models have long been used to model the performance of computer systems, they are out of favor with practitioners, because they have a reputation for requiring u...
Charles A. Sutton, Michael I. Jordan
CMA
2010
134views more  CMA 2010»
13 years 5 months ago
Particle tracking for fractional diffusion with two time scales
Abstract. Previous work [51] showed how to solve time-fractional diffusion equations by particle tracking. This paper extends the method to the case where the order of the fraction...
Mark M. Meerschaert, Yong Zhang, Boris Baeumer
ESWS
2008
Springer
13 years 9 months ago
Entity Lifecycle Management for OKKAM
In this paper, we examine the special requirements of lifecycle management for entities in the context of an entity management system for the semantic web. We study the requirement...
Junaid Ahsenali Chaudhry, Themis Palpanas, Perikli...
WIIW
2001
122views more  WIIW 2001»
13 years 9 months ago
A Framework for Molecular Biology Data Integration
: Molecular biology data are placed in different databases, repositories and flat files, usually distributed over the web. Distinct data models with schemas that are often changing...
Sérgio Lifschitz, Luiz Fernando Bessa Seibe...