20 search results - page 3 / 4 » Tractable nonparametric Bayesian inference in Poisson proces... |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
In this paper, models and algorithms are presented for transcription of pitch and timings in polyphonic music extracts, focusing on the algorithm details of the sequential Markov ...
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
JMLR
2010
13 years 1 days ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
CORR
2010
Springer
13 years 3 months ago
2010
Springer
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Bayesian recursive inference of phase in additive Gaussian noise environments is studied. A tractable conjugate system is established using a von Mises distribution. Its shaping p...