Results 81 to 90 of about 141,184 (170)

Stochastic Gradient Descent as Approximate Bayesian Inference

, 2017
35 pages, published version (JMLR 2017)
Mandt, Stephan, Hoffman, Matthew D., Blei, David M.   +2 more
openaire   +3 more sources

A Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent. [PDF]

IEEE Trans Automat Contr, 2022
Pu S, Olshevsky A, Paschalidis IC.
europepmc   +1 more source

Multi-Depth Computer-Generated Hologram Based on Stochastic Gradient Descent Algorithm with Weighted Complex Loss Function and Masked Diffraction. [PDF]

Micromachines (Basel), 2023
Quan J, Yan B, Sang X, Zhong C, Li H, Qin X, Xiao R, Sun Z, Dong Y, Zhang H.   +9 more
europepmc   +1 more source

Bolstering stochastic gradient descent with model building

TOP
AbstractStochastic gradient descent method and its variants constitute the core optimization algorithms that achieve good convergence rates for solving machine learning problems. These rates are obtained especially when these algorithms are fine-tuned for the application at hand.
Birbil, Ş. İlker, Martin, Özgür, Onay, Gönenç, Öztoprak, Figen   +3 more
openaire   +6 more sources

A Novel Framework for Abnormal Risk Classification over Fetal Nuchal Translucency Using Adaptive Stochastic Gradient Descent Algorithm. [PDF]

Diagnostics (Basel), 2022
Verma D, Agrawal S, Iwendi C, Sharma B, Bhatia S, Basheer S.   +5 more
europepmc   +1 more source

A Novel Sophia-SPGD (Stochastic Parallel Gradient Descent) Optimization Method for Wavefront Correction in WFS-Less AO (Wavefront Sensorless Adaptive Optics) Systems

Photonics
In wavefront sensorless adaptive optics (WFS-less AO) systems, stochastic parallel gradient descent (SPGD) is the primary optimization method for correcting wavefront distortions. However, as the intensity of atmospheric turbulence interference increases,
Peng Chen, Wenjie Yang, Yongqi Ge, Zhiguang Zhang, Xianshuo Li, Zhengqing Qi, Huizhen Yang   +6 more
doaj   +1 more source

An Improvised Sentiment Analysis Model on Twitter Data Using Stochastic Gradient Descent (SGD) Optimization Algorithm in Stochastic Gate Neural Network (SGNN). [PDF]

SN Comput Sci, 2023
Vidyashree KP, Rajendra AB.
europepmc   +1 more source

A Scalable Bayesian Sampling Method Based on Stochastic Gradient Descent Isotropization. [PDF]

Entropy (Basel), 2021
Franzese G, Milios D, Filippone M, Michiardi P.   +3 more
europepmc   +1 more source

An Improved Reacceleration Optimization Algorithm Based on the Momentum Method for Image Recognition

Mathematics
The optimization algorithm plays a crucial role in image recognition by neural networks. However, it is challenging to accelerate the model’s convergence and maintain high precision.
Haijing Sun, Ying Cai, Ran Tao, Yichuan Shao, Lei Xing, Can Zhang, Qian Zhao   +6 more
doaj   +1 more source

Using the Stochastic Gradient Descent Optimization Algorithm on Estimating of Reactivity Ratios. [PDF]

Materials (Basel), 2021
Fazakas-Anca IS, Modrea A, Vlase S.
europepmc   +1 more source