Skip to main navigation
Skip to search
Skip to main content
University of Kentucky Home
LOGIN & Help
Link opens in a new tab
English
Español
Search content at University of Kentucky
Home
Research units
Researchers
Projects & Grants
Research Output
Facilities & Equipment
Honors & Awards
Activities
Matrix condition number prediction with SVM regression and feature selection
Shuting Xu
, Jun Zhang
Computer Science
Research output
:
Contribution to conference
›
Paper
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Matrix condition number prediction with SVM regression and feature selection'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Computer Science
Feature Selection
100%
Condition Number
100%
Support Vector Machine
100%
Matrix Condition Number
100%
Feature Extraction
100%
Support Vector Regression
66%
Response Time
33%
Direct Computation
33%
Selection Criterion
33%
Selection Strategy
33%
Engineering
Feature Extraction
100%
Condition Number
100%
Support Vector Machine
50%
Selection Criterion
25%
Linear Algebra
25%
Selection Strategy
25%
Response Time
25%
Mathematics
Matrix
100%
Support Vector Machine
40%
Numerical Analysis
20%
Linear Algebra
20%
Sparse Matrix
20%
Direct Computation
20%
Response Time
20%
Chemical Engineering
Feature Extraction
100%
Support Vector Machine
66%