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ICML
1999
IEEE
16 years 7 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
ICCAD
2002
IEEE
122views Hardware» more  ICCAD 2002»
16 years 3 months ago
Schedulability analysis of multiprocessor real-time applications with stochastic task execution times
This paper presents an approach to the analysis of task sets implemented on multiprocessor systems, when the task execution times are specified as generalized probability distrib...
Sorin Manolache, Petru Eles, Zebo Peng
COLT
2007
Springer
16 years 15 days ago
Improved Rates for the Stochastic Continuum-Armed Bandit Problem
Abstract. Considering one-dimensional continuum-armed bandit problems, we propose an improvement of an algorithm of Kleinberg and a new set of conditions which give rise to improve...
Peter Auer, Ronald Ortner, Csaba Szepesvári
INFOCOM
2000
IEEE
15 years 10 months ago
Stochastic Modeling of TCP over Lossy Links
—An analytical framework for modeling the performance of a single TCP session in the presence of random packet loss is presented. A Markovian approach is developed that allows us...
Alhussein A. Abouzeid, Sumit Roy, Murat Azizoglu
SUTC
2010
IEEE
15 years 10 months ago
A Log-Ratio Information Measure for Stochastic Sensor Management
—In distributed sensor networks, computational and energy resources are in general limited. Therefore, an intelligent selection of sensors for measurements is of great importance...
Daniel Lyons, Benjamin Noack, Uwe D. Hanebeck