Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Sarah E. Michalak"'
Autor:
Jeff A. Bilmes, Gopinath Chennupati, Sunil Thulasidasan, Sarah E. Michalak, Tanmoy Bhattacharya
Publikováno v:
Scopus-Elsevier
NeurIPS
NeurIPS
Mixup~\cite{zhang2017mixup} is a recently proposed method for training deep neural networks where additional samples are generated during training by convexly combining random pairs of images and their associated labels. While simple to implement, it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::643dc6eaca25527ea5c3c20041568867
http://arxiv.org/abs/1905.11001
http://arxiv.org/abs/1905.11001
Autor:
Amanda Bonnie, Andrew J. Montoya, Laura A. Davey, Brian J. Reich, Lawrence O. Ticknor, Sarah E. Michalak, Curtis B. Storlie, Thomas E. Moxley, William N. Rust
Publikováno v:
Analytic Methods in Systems and Software Testing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba4ec1c195399b4c7162734a9ab0d4b7
https://doi.org/10.1002/9781119357056.ch13
https://doi.org/10.1002/9781119357056.ch13
Autor:
Joanne Wendelberger, Laura Monroe, Ryan Slechta, Sarah E. Michalak, Nathan DeBardeleben, Qiang Guan
Publikováno v:
EDCC
As the number of components in high-performance computing (HPC) systems continues to grow, the number of vehicles for soft errors will rise in parallel. Petascale research has shown that soft errors on supercomputers can occur as frequently as multip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f92400a5b9ae2b3830e8bbb5601456e0
https://doi.org/10.1109/edcc.2017.23
https://doi.org/10.1109/edcc.2017.23
Autor:
Eloy E. Romero, Josip Loncaric, Sarah E. Michalak, Hugh Greenberg, Scott Pakin, Randal Rheinheimer, Robert E. Fields, Gary Grider, Craig Idler, Curtis B. Storlie, Michael Lang, Joanne Wendelberger
Publikováno v:
Concurrency and Computation: Practice and Experience. 28:274-290
Power is becoming an increasingly important concern for large supercomputer centers. However, to date, there have been a dearth of studies of power usage 'in the wild'-on production supercomputers running production workloads. In this paper, we prese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e25451b21f3ebe8548c6f1bd0de2465
https://doi.org/10.1002/cpe.3191
https://doi.org/10.1002/cpe.3191
Autor:
Curtis B. Storlie, David Dubois, Andrew J. DuBois, Steven A. Wender, Heather Quinn, Sarah E. Michalak
Publikováno v:
Journal of the American Statistical Association. 108:429-440
A soft error is an undesired change in an electronic device's state, for example, a bit flip in computer memory, that does not permanently affect its functionality. In microprocessor systems, neutron-induced soft errors can cause crashes and silent d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::144a936098ae1e91814d69636e9321fe
https://doi.org/10.1080/01621459.2013.770694
https://doi.org/10.1080/01621459.2013.770694
Publikováno v:
Journal of the Royal Statistical Society Series C: Applied Statistics. 62:473-486
Summary The paper presents a Bayesian approach to analysing interval-censored data with random unknown end points. Such data occur when the event of interest is interval censored but, because of the measurement process, the interval end points are no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5690b6ae11b47effaf68cde51e5282f8
https://doi.org/10.1111/rssc.12005
https://doi.org/10.1111/rssc.12005
Autor:
Carl N. Morris, Sarah E. Michalak
Publikováno v:
Bayesian Anal. 11, no. 2 (2016), 545-571
Statisticians often use improper priors to express ignorance or to provide good frequency properties, requiring that posterior propriety be verified. This paper addresses generalized linear mixed models, GLMMs, when Level I parameters have Normal dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa48cd1d77897319efc7e2b7f01f3cdf
http://projecteuclid.org/euclid.ba/1437137635
http://projecteuclid.org/euclid.ba/1437137635
Publikováno v:
Journal of Computational and Graphical Statistics. 21:561-580
Sources of streaming data are proliferating and so are the demands to analyze and mine such data in real time. Statistical methods frequently form the core of real-time analysis, and therefore, statisticians increasingly encounter the challenges and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b05785657f6eea193e7031b18d48dc26
https://doi.org/10.1080/10618600.2012.657144
https://doi.org/10.1080/10618600.2012.657144
Autor:
Sean Blanchard, Heather Quinn, Sarah E. Michalak, Curtis B. Storlie, Andrea Manuzzato, D. DuBois, David G. Modl, William N. Rust, A. DuBois
Publikováno v:
IEEE Transactions on Device and Materials Reliability. 12:445-454
Microprocessor-based systems are a common design for high-performance computing (HPC) platforms. In these systems, several thousands of microprocessors can participate in a single calculation that may take weeks or months to complete. When used in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbb0c82edf1043cab81323921b459ffe
https://doi.org/10.1109/tdmr.2012.2192736
https://doi.org/10.1109/tdmr.2012.2192736
Publikováno v:
Technometrics. 50:8-14
Cosmic ray–induced neutrons can cause bit flips in silicon-based electronic devices, such as computer memory. To estimate the frequency of occurrence, a device may be tested by placing it in a neutron beam at a testing facility, such as the Irradia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e8fd24e6f97800895d1759d85118302
https://doi.org/10.1198/004017007000000461
https://doi.org/10.1198/004017007000000461