38 search results - page 1 / 8 » Parametric Learning and Monte Carlo Optimization |
CORR
2007
Springer
13 years 4 months ago
2007
Springer
ICML
1999
IEEE
14 years 5 months ago
1999
IEEE
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...
PKDD
2009
Springer
13 years 9 months ago
2009
Springer
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
In this paper we propose a Particle Filter-based propagation approach for the segmentation of vascular structures in 3D volumes. Because of pathologies and inhomogeneities, many de...
UAI
2001
13 years 6 months ago
2001
We present an iterative Markov chain Monte Carlo algorithm for computing reference priors and minimax risk for general parametric families. Our approach uses MCMC techniques based...