E-LIB Suche - Ergebnisse für: Driggs, Derek

1

Ideologies in Second Language Learning: The Case of Korean ..:

Kiaer, Jieun ; Driggs, Derek ; Brown, Lucien.
Journal of Language, Identity & Education. , 2022

Link: https://doi.org/10.1080/..

2

A Stochastic Proximal Alternating Minimization for Nonsmoot..:

Driggs, Derek ; Tang, Junqi ; Liang, Jingwei..
SIAM Journal on Imaging Sciences. 14 (2021) 4 - p. 1932-1970 , 2021

Link: https://doi.org/10.1137/..

3

Common pitfalls and recommendations for using machine learn..:

Roberts, Michael ; Driggs, Derek ; Thorpe, Matthew...
Nature Machine Intelligence. 3 (2021) 3 - p. 199-217 , 2021

Link: https://doi.org/10.1038/..

4

Reading & writing Korean: a beginner's guide to the Hangeul..:

Kiaer, Jieun ; Driggs, Derek , 2021

Link: https://search.ebscohost..

5

Accelerating variance-reduced stochastic gradient methods:

Driggs, Derek ; Ehrhardt, Matthias J. ; Schönlieb, Carola-Bibiane
Mathematical Programming. 191 (2020) 2 - p. 671-715 , 2020

Link: https://doi.org/10.1007/..

6

AnySOS: An anytime algorithm for SOS programming:

, In: 2019 IEEE 58th Conference on Decision and Control (CDC),

Driggs, Derek ; Fawzi, Hamza - p. 3012-3017 , 2019

Link: https://doi.org/10.1109/..

7

Adapting Regularized Low-Rank Models for Parallel Architect..:

Driggs, Derek ; Becker, Stephen ; Aravkin, Aleksandr
SIAM Journal on Scientific Computing. 41 (2019) 1 - p. A163-A189 , 2019

Link: https://doi.org/10.1137/..

8

The asymptotic equivalence of fixed heat flux and fixed tem..:

Calkins, Michael A. ; Hale, Kevin ; Julien, Keith...
Journal of Fluid Mechanics. 784 (2015) - p. , 2015

Link: https://doi.org/10.1017/..

9

Accelerating Variance-Reduced Stochastic Gradient Methods:

Driggs, Derek ; Ehrhardt, Matthias J ; Schönlieb, Carola-Bibiane
Driggs , D , Ehrhardt , M J & Schönlieb , C-B 2022 , ' Accelerating Variance-Reduced Stochastic Gradient Methods ' , Mathematical Programming , vol. 191 , no. 2 , pp. 671–715 . https://doi.org/10.1007/s10107-020-01566-2. , 2022

Link: https://researchportal.b..

10

Common pitfalls and recommendations for using machine learn..:

Roberts, Michael ; Driggs, Derek ; Thorpe, Matthew...
https://doi.org/10.17863/CAM.61926. , 2021

Link: https://doi.org/10.17863..

11

Common pitfalls and recommendations for using machine learn..:

Roberts, Michael ; Driggs, Derek ; Thorpe, Matthew...
Roberts , M , Driggs , D , Thorpe , M , Gilbey , J , Yeung , M , Ursprung , S , Aviles-Rivero , A , Etmann , C , McCague , C , Beer , L , Weir-McCall , J , Teng , Z , Gkrania-Klotsas , E , AIX-COVNET , Rudd , J , Sala , E & Schoenlieb , C-B 2021 , ' Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans ' , Nature Machine Intelligence , vol. 3 , pp. 199-217 . https://doi.org/10.1038/s42256-021-00307-0. , 2021

Link: https://research.manches..

12

Common Pitfalls and Recommendations for Using Machine Learn..:

Roberts, Michael ; Driggs, Derek ; Thorpe, Matthew...
https://elib.dlr.de/146203/1/s42256-021-00307-0.pdf. , 2021

Link: https://elib.dlr.de/1462..

13

Machine learning for COVID-19 diagnosis and prognostication..:

Driggs, Derek ; Selby, Ian ; Roberts, Michael...
https://www.repository.cam.ac.uk/handle/1810/318452. , 2021

Link: https://www.repository.c..

14

SPRING: A fast stochastic proximal alternating method for n..:

Driggs, Derek ; Tang, Junqi ; Liang, Jingwei..
http://arxiv.org/abs/2002.12266. , 2020

Link: http://arxiv.org/abs/200..

15

Common pitfalls and recommendations for using machine learn..:

Roberts, Michael ; Driggs, Derek ; Thorpe, Matthew...
http://arxiv.org/abs/2008.06388. , 2020

Link: http://arxiv.org/abs/200..