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» Challenges in Evaluating Distributed Algorithms
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AAAI
1997
15 years 6 months ago
Effective Bayesian Inference for Stochastic Programs
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
Daphne Koller, David A. McAllester, Avi Pfeffer
144
Voted
SIGMOD
2010
ACM
184views Database» more  SIGMOD 2010»
15 years 9 months ago
Load-balanced query dissemination in privacy-aware online communities
We propose a novel privacy-preserving distributed infrastructure in which data resides only with the publishers owning it. The infrastructure disseminates user queries to publishe...
Emiran Curtmola, Alin Deutsch, K. K. Ramakrishnan,...
CCGRID
2005
IEEE
15 years 10 months ago
GangSim: a simulator for grid scheduling studies
Large distributed Grid systems pose new challenges in job scheduling due to complex workload characteristics and system characteristics. Due to the numerous parameters that must b...
Catalin Dumitrescu, Ian T. Foster
SIGMOD
2002
ACM
127views Database» more  SIGMOD 2002»
15 years 4 months ago
Workflow management with service quality guarantees
Workflow management systems (WFMS) that are geared for the orchestration of business processes across multiple organizations are complex distributed systems: they consist of multi...
Michael Gillmann, Gerhard Weikum, Wolfgang Wonner
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 11 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...