20 search results - page 2 / 4 » Tractable nonparametric Bayesian inference in Poisson proces... |
JCST
2010
13 years 3 months ago
2010
In the Bayesian mixture modeling framework it is possible to infer the necessary number of components to model the data and therefore it is unnecessary to explicitly restrict the n...
PSIVT
2007
Springer
13 years 11 months ago
2007
Springer
This paper considers the problem of Bayesian inference in dynamical models with time-varying dimension. These models have been studied in the context of multiple target tracking pr...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
Semi-supervised learning (SSL), is classification where additional unlabeled data can be used to improve accuracy. Generative approaches are appealing in this situation, as a mode...
JMLR
2012
11 years 7 months ago
2012
We propose a novel mixtures of Gaussian processes model in which the gating function is interconnected with a probabilistic logical model, in our case Markov logic networks. In th...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...