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ICML
1999
IEEE
14 years 9 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
STOC
2003
ACM
119views Algorithms» more  STOC 2003»
14 years 9 months ago
A stochastic process on the hypercube with applications to peer-to-peer networks
Micah Adler, Eran Halperin, Richard M. Karp, Vijay...