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» On the Theory of Stochastic Processors
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MSS
2008
IEEE
112views Hardware» more  MSS 2008»
14 years 9 months ago
Axiomatization of stochastic models for choice under uncertainty
: This paper develops a theory of probabilistic models for risky choices. Part of this theory can be viewed as an extension of the expected utility theory to account for bounded ra...
John K. Dagsvik
CODES
2006
IEEE
15 years 1 months ago
Automatic phase detection for stochastic on-chip traffic generation
During System on Chip (SoC) design, Network on Chip (NoC) prototyping is used for adapting NoC parameters to the application running on the chip. This prototyping is currently don...
Antoine Scherrer, Antoine Fraboulet, Tanguy Risset
ICAART
2010
INSTICC
15 years 6 months ago
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
Christos Dimitrakakis
MICCAI
2005
Springer
15 years 10 months ago
Cross Entropy: A New Solver for Markov Random Field Modeling and Applications to Medical Image Segmentation
This paper introduces a novel solver, namely cross entropy (CE), into the MRF theory for medical image segmentation. The solver, which is based on the theory of rare event simulati...
Jue Wu, Albert C. S. Chung
SYNTHESE
2008
84views more  SYNTHESE 2008»
14 years 9 months ago
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...
Thomas Bartz-Beielstein