Results 271 to 280 of about 28,952 (292)

Stochastic gradient descent possibilistic clustering

11th Hellenic Conference on Artificial Intelligence, 2020
Although online versions of several well known clustering algorithms have been proposed, in order to deal effectively with the big data issue, as well as with the case where the data are available in a streaming fashion, very few of them follow the stochastic gradient descent philosophy.
Aggeliki Koutsibella, Konstantinos D. Koutroumbas   +1 more
openaire   +1 more source

Stochastic Gradient Descent with GPGPU

2012
We show how to optimize a Support Vector Machine and a predictor for Collaborative Filtering with Stochastic Gradient Descent on the GPU, achieving 1.66 to 6-times accelerations compared to a CPU-based implementation. The reference implementations are the Support Vector Machine by Bottou and the BRISMF predictor from the Netflix Prices winning team ...
David Zastrau, Stefan Edelkamp
openaire   +1 more source

Runtime Analysis of Stochastic Gradient Descent

Proceedings of the 4th International Conference on Computer Science and Application Engineering, 2020
Stochastic gradient descent (SGD) is one of the most famous methods for minimization. However, there are few results about the runtime analysis of SGD because of its randomness. In this paper, we explain how to approximate SGD by stochastic differential equations (SDE).
Guanqiang Hu, Yushan Zhang
openaire   +1 more source

Stochastic Gradient Descent

2017
This chapter gives a broad overview and a historical context around the subject of deep learning. It also gives the reader a roadmap for navigating the book, the prerequisites, and further reading to dive deeper into the subject matter.
openaire   +1 more source

Online Covariance Matrix Estimation in Stochastic Gradient Descent

Journal of the American Statistical Association, 2023

exaly  

Robust Stochastic Gradient Descent With Student-t Distribution Based First-Order Momentum

IEEE Transactions on Neural Networks and Learning Systems, 2022
Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto   +2 more
exaly  

Resampling Stochastic Gradient Descent Cheaply

2023 Winter Simulation Conference (WSC), 2023
Henry Lam, Zitong Wang 0005
openaire   +1 more source

Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning

IEEE/CAA Journal of Automatica Sinica, 2021
Xin Luo, Khaled Sedraoui, Mengchu Zhou   +2 more
exaly  

Stochastic Gradient Descent

2023
openaire   +1 more source

Communication-Censored Distributed Stochastic Gradient Descent

IEEE Transactions on Neural Networks and Learning Systems, 2022
Weiyu Li, Tianyi Chen, Liping Li
exaly