20833 search results - page 172 / 4167 » Hidden process models |
103
Voted
IBERAMIA
2004
Springer
15 years 3 months ago
2004
Springer
In this paper we tackle the problem of providing a mobile robot with the ability to build a map of its environment using data gathered during navigation. The data correspond to the...
97
Voted
CORR
2010
Springer
14 years 5 months ago
2010
Springer
We consider a finite-state memoryless channel with i.i.d. channel state and the input Markov process supported on a mixing finite-type constraint. We discuss the asymptotic behavio...
ICML
2008
IEEE
15 years 11 months ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
PERCOM
2007
ACM
15 years 9 months ago
2007
ACM
We consider sensor scheduling as the optimal observability problem for partially observable Markov decision processes (POMDP). This model fits to the cases where a Markov process ...
ICML
2005
IEEE
15 years 11 months ago
2005
IEEE
We introduce an expectation maximizationtype (EM) algorithm for maximum likelihood optimization of conditional densities. It is applicable to hidden variable models where the dist...