Amanote Research
Register
Sign In
Spatial Support Vector Regression to Detect Silent Errors in the Exascale Era
doi 10.1109/ccgrid.2016.33
Full Text
Open PDF
Abstract
Available in
full text
Date
May 1, 2016
Authors
Omer Subasi
Sheng Di
Leonardo Bautista-Gomez
Prasanna Balaprakash
Osman Unsal
Jesus Labarta
Adrian Cristal
Franck Cappello
Publisher
IEEE
Related search
Support Vector Regression
On-Line Support Vector Machine Regression
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Regression Depth and Support Vector Machine
Data Depth: Robust Multivariate Analysis, Computational Geometry and Applications
The Method of Applying Support Vector Machine to Engineering Data Regression
Exploring the Capabilities of Support Vector Machines in Detecting Silent Data Corruptions
Sustainable Computing: Informatics and Systems
Electronic Engineering
Electrical
Computer Science
Using CSP to Detect Errors in the TFTP
Journal of Advances in Computer Networks
Support Vector Regression With Automatic Accuracy Control
Perspectives in Neural Computing
Approximate Dynamic Programming Using Support Vector Regression
The Asymptotic Study of Smooth Entropy Support Vector Regression
Intelligent Information Management
