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» Dependence Modeling for Stochastic Simulation
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ICML
2009
IEEE
14 years 10 months ago
Approximate inference for planning in stochastic relational worlds
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
Tobias Lang, Marc Toussaint
CMSB
2006
Springer
14 years 1 months ago
Regulatory Network Reconstruction Using Stochastic Logical Networks
Abstract. This paper presents a method for regulatory network reconstruction from experimental data. We propose a mathematical model for regulatory interactions, based on the work ...
Bartek Wilczynski, Jerzy Tiuryn
ICML
2009
IEEE
14 years 4 months ago
Grammatical inference as a principal component analysis problem
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
Raphaël Bailly, François Denis, Liva R...
IJDMB
2010
61views more  IJDMB 2010»
13 years 8 months ago
On a novel coalescent model for genome-wide evolution of Copy Number Variations
: Since we are limited in our knowledge of human demographic history and variations of recombination and mutation rates, large-scale computer simulation is a necessary tool in gene...
Antonina Mitrofanova, Bhubaneswar (Bud) Mishra
TON
2010
89views more  TON 2010»
13 years 8 months ago
Demand-aware content distribution on the internet
—The rapid growth of media content distribution on the Internet in the past few years has brought with it commensurate increases in the costs of distributing that content. Can th...
Srinivas Shakkottai, Ramesh Johari