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SAC
2010
ACM
14 years 8 months ago
Importance tempering
Simulated tempering (ST) is an established Markov Chain Monte Carlo (MCMC) methodology for sampling from a multimodal density π(θ). The technique involves introducing an auxilia...
Robert B. Gramacy, Richard Samworth, Ruth King
WSC
2000
14 years 11 months ago
Confident decision making and improved throughput for cereal manufacturing with simulation
In 1999, Kellogg Company needed to rationalize its area manufacturing capacity. A significant portion of the production was moved between Kellogg manufacturing plants. Simulation ...
Travis A. Dahl, Brian F. Jacob
BMCBI
2006
113views more  BMCBI 2006»
14 years 9 months ago
GibbsST: a Gibbs sampling method for motif discovery with enhanced resistance to local optima
Background: Computational discovery of transcription factor binding sites (TFBS) is a challenging but important problem of bioinformatics. In this study, improvement of a Gibbs sa...
Kazuhito Shida
HIPC
2000
Springer
15 years 1 months ago
Instruction Level Distributed Processing
Within two or three technology generations, processor architects will face a number of major challenges. Wire delays will become critical, and power considerations will temper the ...
James E. Smith
AAAI
2006
14 years 11 months ago
Sound and Efficient Inference with Probabilistic and Deterministic Dependencies
Reasoning with both probabilistic and deterministic dependencies is important for many real-world problems, and in particular for the emerging field of statistical relational lear...
Hoifung Poon, Pedro Domingos