222 search results - page 1 / 45 » A stochastic EM algorithm for a semiparametric mixture model |
53
Voted
CSDA
2007
14 years 9 months ago
2007
Recently, there has been a considerable interest in finite mixture models with semi-/non-parametric component distributions. Identifiability of such model parameters is generall...
CMPB
2007
14 years 9 months ago
2007
: Cure models have been developed to analyze failure time data with a cured fraction. For such data, standard survival models are usually not appropriate because they do not accoun...
73
Voted
IJIT
2004
14 years 11 months ago
2004
A recent neuro-spiking coding scheme for feature extraction from biosonar echoes of various plants is examined with a variety of stochastic classifiers. Feature vectors derived are...
ICIP
2004
IEEE
15 years 11 months ago
2004
IEEE
In this paper, we present a robust method for estimating the model parameters in a mixture of probabilistic principal component analyzers. This method is based on the Stochastic v...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We cast model-free reinforcement learning as the problem of maximizing the likelihood of a probabilistic mixture model via sampling, addressing both the infinite and finite horizo...