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SAC
2010
ACM
13 years 3 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
13 years 6 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»
13 years 4 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
13 years 8 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
13 years 6 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