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ICML
1999
IEEE
14 years 8 months ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox
BIOSYSTEMS
2008
102views more  BIOSYSTEMS 2008»
13 years 7 months ago
A computational model for telomere-dependent cell-replicative aging
Telomere shortening provides a molecular basis for the Hayflick limit. Recent data suggest that telomere shortening also influence mitotic rate. We propose a stochastic growth mod...
R. D. Portugal, M. G. P. Land, Benar Fux Svaiter
NMA
2010
13 years 5 months ago
Modeling of the SET and RESET Process in Bipolar Resistive Oxide-Based Memory Using Monte Carlo Simulations
A stochastic model of the resistive switching mechanism in bipolar oxide-based resistive random access memory (RRAM) is presented. The distribution of electron occupation probabili...
Alexander Makarov, Viktor Sverdlov, Siegfried Selb...
ICALP
2007
Springer
14 years 1 months ago
Commitment Under Uncertainty: Two-Stage Stochastic Matching Problems
Abstract. We define and study two versions of the bipartite matching problem in the framework of two-stage stochastic optimization with recourse. In one version the uncertainty is...
Irit Katriel, Claire Kenyon-Mathieu, Eli Upfal