MLitB: machine learning in the browser-Reference-Cited by-同舟云学术

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MLitB: machine learning in the browser

Published:2015-07-29 Issue: Volume:1 Page:e11
ISSN:2376-5992
Container-title:PeerJ Computer Science
language:en
Short-container-title:

Author:

Meeds Edward¹,Hendriks Remco¹,Al Faraby Said¹,Bruntink Magiel¹,Welling Max¹

Affiliation:

1. Informatics Institute, University of Amsterdam, Amsterdam, The Netherlands

Publisher

PeerJ

Subject

General Computer Science

Link

https://peerj.com/articles/cs-11.pdf

Reference45 articles.

1. Distributed stochastic gradient MCMC;Ahn,2014

2. BOINC: a system for public-resource computing and storage;Anderson,2004

3. SETI@Home: an experiment in public- resource computing;Anderson;Communications of the ACM,2002

4. asm.js: an extraordinarily optimizable, low-level subset of JavaScript,2014

5. Do deep nets really need to be deep?;Ba,2014

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Geospatial Machine Learning and the Power of Python Programming;Advances in Geospatial Technologies;2024-05-10

2. rFITb: Random Forest in the Browser;2023 The 8th International Conference on Information and Education Innovations;2023-04-13

3. Front-end deep learning web apps development and deployment: a review;Applied Intelligence;2022-11-30

4. WebFed: Cross-platform Federated Learning Framework Based on Web Browser with Local Differential Privacy;ICC 2022 - IEEE International Conference on Communications;2022-05-16

5. Numerical computing on the web: benchmarking for the future;ACM SIGPLAN Notices;2020-04-06

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