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Bootstrapping and support vector machines with R and SPRINT
Sloan, Terence
(Principal Investigator)
Mewissen, Muriel
(Co-investigator)
Forster, Thorsten
(Co-investigator)
Piotrowski, Michal
(Researcher)
Cebamanos, Luis
(Researcher)
School of Physics and Astronomy
Deanery of Biomedical Sciences
Division of Infection and Pathway Medicine
Overview
Fingerprint
Research output
(1)
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Weight
Alphabetically
Computer Science
User
100%
Support Vector Machine
85%
Optimization
85%
Parallelization
85%
Supercomputer
57%
Statistical Function
42%
Statistical Analysis
42%
Service
42%
Functions
42%
Sample Estimate
28%
Computational Bottleneck
28%
Statistics
28%
Data Analysis
28%
Expert Knowledge
28%
Complexity
28%
Speed-up
28%
Statistical Computing
28%
High-Performance Computing
28%
Accuracy
28%
Survey
28%
Multicore
28%
Nursing and Health Professions
Support Vector Machine
85%
Bootstrapping
85%
Statistical Analysis
42%
Mathematics
Bootstrapping
85%
Functions
85%
Statistical Analysis
42%