Results 251 to 260 of about 43,983 (273)

Variational Bayesian Inference for Multichannel Dereverberation and Noise Reduction

IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2014
Room reverberation and background noise severely degrade the quality of hands-free speech communication systems. In this work, we address the problem of combined speech dereverberation and noise reduction using a variational Bayesian (VB) inference approach.
Dominic Schmid, Gerald Enzner, Sarmad Malik, Dorothea Kolossa, Rainer Martin 0001   +4 more
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Variational Inference for Bayesian Panel VAR Models

SSRN Electronic Journal
We study the application of approximate mean field variational inference algorithms to Bayesian panel VAR models in which an exchangeable prior is placed on the dynamic parameters and the residuals follow either a Gaussian or a Student-t distribution.
openaire   +2 more sources

Bayesian Inference via Variational Approximation for Collaborative Filtering

Neural Processing Letters, 2018
Variational approximation method finds wide applicability in approximating difficult-to-compute probability distributions, a problem that is especially important in Bayesian inference to estimate posterior distributions. Latent factor model is a classical model-based collaborative filtering approach that explains the user-item association by ...
Yang Weng, Lei Wu, Wenxing Hong
openaire   +1 more source

Learning from Demonstration Using Variational Bayesian Inference

2015
Learning from demonstration LFD is an active area of research in robotics. There are many approaches to LFD. One of the most widely used approaches is the combination of Gaussian Mixture Model learning for modeling and Gaussian Mixture Regression for behavior generation GMM/GMR due to its advantages including easy learning using Expectation ...
Mostafa Hussein, Yasser Mohammed, Samia A. Ali   +2 more
openaire   +1 more source

Variational inference based distributed noise adaptive Bayesian filter

Signal Processing, 2021
Haoshen Lin, Chen Hu
exaly  

Fast and accurate Bayesian polygenic risk modeling with variational inference

American Journal of Human Genetics, 2023
Shadi Zabad, Simon Gravel, Yue Li
exaly  

Probabilistic model updating via variational Bayesian inference and adaptive Gaussian process modeling

Computer Methods in Applied Mechanics and Engineering, 2021
Pinghe Ni, Jun Li, Hong Hao
exaly  

An analytically tractable solution for hierarchical Bayesian model updating with variational inference scheme

Mechanical Systems and Signal Processing, 2023
Costas Papadimitriou, Ka-Veng Yuen
exaly  

Structural damage detection based on variational Bayesian inference and delayed rejection adaptive Metropolis algorithm

Structural Health Monitoring, 2021
Xiaoyou Wang, Rongrong Hou, Yong Xia
exaly  

Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data

IEEE Transactions on Neural Networks and Learning Systems, 2015
Takatomi Kubo, Kazuho Watanabe, Kazushi Ikeda   +2 more
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