Results 241 to 250 of about 51,507 (261)

Sparse Bayesian Recurrent Neural Networks

2015
Recurrent neural networks RNNs have recently gained renewed attention from the machine learning community as effective methods for modeling variable-length sequences. Language modeling, handwriting recognition, and speech recognition are only few of the application domains where RNN-based models have achieved the state-of-the-art performance currently ...
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Establishment of probabilistic prediction models for pavement deterioration based on Bayesian neural network

International Journal of Pavement Engineering, 2023
Yang Ma, Feng Xiao, Shunxin Yang
exaly  

A Bayesian Mixture Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

IEEE Transactions on Transportation Electrification, 2022
Zhitao Liu, Hongye Su, Shuxin Zhang
exaly  

Estimation of Obesity Levels with a Trained Neural Network Approach optimized by the Bayesian Technique

Applied Sciences (Switzerland), 2023
Cemil Colak, Mehmet Gulu, Yasin GÖRMEZ   +2 more
exaly  

Robust Bayesian Abstraction of Neural Networks

2023 International Conference on Machine Learning and Cybernetics (ICMLC), 2023
Amany Alshareef, Nicolas Berthier, Sven Schewe, Xiaowei Huang 0001   +3 more
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Novel Bayesian neural network based approach for nuclear charge radii

Physical Review C, 2022
Rong An, Li-Sheng Geng, Xiao-Xu Dong
exaly  

Probabilistic Seismic Response Prediction of Three-Dimensional Structures Based on Bayesian Convolutional Neural Network

Sensors, 2022
Ramin Ghiasi, Sin-Chi Kuok, Tianyu Wang   +2 more
exaly  

Performance Comparison of Bayesian Deep Learning Model and Traditional Bayesian Neural Network in Short-Term PV Interval Prediction

Sustainability, 2022
Jia Rong, Kaiyan Wang
exaly  

Bayesian Neural Network Language Modeling for Speech Recognition

IEEE/ACM Transactions on Audio Speech and Language Processing, 2022
Xunying Liu, Helen Meng, Shoukang Hu
exaly  

BAYESIAN NEURAL NETWORKS

Statistical Problems in Particle Physics, Astrophysics and Cosmology, 2006
PUSHPALATHA C. BHAT, HARRISON B. PROSPER
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