1013 search results - page 147 / 203 » The Bayesian inference of phase |
DCC
2010
IEEE
14 years 3 months ago
2010
IEEE
In this work we describe a sequence compression method based on combining a Bayesian nonparametric sequence model with entropy encoding. The model, a hierarchy of Pitman-Yor proce...
ICIC
2009
Springer
14 years 3 months ago
2009
Springer
In this paper, we present an application of neural networks in the renewable energy domain. We have developed a methodology for the daily prediction of global solar radiation on a ...
PKDD
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
IAT
2008
IEEE
14 years 3 months ago
2008
IEEE
This paper presents a social and personal context modeling method on mobile device. It infers user’s contexts, such as amity with others and emotional state, from uncertain logs...
ICIP
2008
IEEE
14 years 3 months ago
2008
IEEE
In this paper we propose a novel algorithm for super resolution based on total variation prior and variational distribution approximations. We formulate the problem using a hierar...