727 search results - page 5 / 146 » On Bayesian model and variable selection using MCMC |
73
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IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
108
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NIPS
2008
14 years 11 months ago
2008
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
CSDA
2007
14 years 9 months ago
2007
In two-way contingency tables analysis, a popular class of models for describing the structure of the association between the two categorical variables are the so-called “associ...
JMLR
2011
14 years 4 months ago
2011
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
ICASSP
2011
IEEE
14 years 1 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 ...