Results 251 to 260 of about 434,301 (280)

Improved acoustic modeling with Bayesian learning

[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1992
The authors study the use of Bayesian learning for the estimation of the parameters of a multivariate mixture Gaussian density. For speech recognition algorithms based on the continuous density hidden Markov model (CDHMM) framework, Bayesian learning serves as a unified approach for the following four applications: parameter smoothing, speaker ...
J.-L. Gauvain, C.-H. Lee
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Nonparametric Bayesian Models for Unsupervised Learning

2011
Unsupervised learning is an important topic in machine learning. In particular, clustering is an unsupervised learning problem that arises in a variety of applications for data analysis and mining. Unfortunately, clustering is an ill-posed problem and, as such, a challenging one: no ground-truth that can be used to validate clustering results is ...
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Bayesian machine learning ensemble approach to quantify model uncertainty in predicting groundwater storage change

Science of the Total Environment, 2021
Jina Yin, Josue Medellin-Azuara, Alvar Escriva-Bou   +2 more
exaly  

Learning NAT-Modeled Bayesian Network Structures with Bayesian Approach

Proceedings of the Canadian Conference on Artificial Intelligence, 2022
Yang Xiang, Wanrong Sun
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Nonparametric Bayesian Modelling in Machine Learning

2016
Nonparametric Bayesian inference has widespread applications in statistics and machine learning. In this thesis, we examine the most popular priors used in Bayesian non-parametric inference. The Dirichlet process and its extensions are priors on an infinite-dimensional space.
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Rapid prediction of urban flood based on disaster-breeding environment clustering and Bayesian optimized deep learning model in the coastal city

Sustainable Cities and Society, 2023
Zening Wu, Tian-Ye Wang
exaly  

Hydrologic multi-model ensemble predictions using variational Bayesian deep learning

Journal of Hydrology, 2022
Dayang Li, Lucy A Marshall, Zhongmin Liang   +2 more
exaly  

Sparse Bayesian learning with model reduction for probabilistic structural damage detection with limited measurements

Engineering Structures, 2021
Jian Li, Yong Huang, Parisa Asadollahi
exaly  

Efficient Bayesian local model learning for control

2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014
Meier, F., Hennig, P., Schaal, S.
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Multinomial Bayesian extreme learning machine for sparse and accurate classification model

Neurocomputing, 2021
Jiahua Luo, Chi-Man Vong
exaly