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Kernel Methods for Machine Learning with life-sciences applications
Abrahamsen, Trine Julie
(PhD Student)
Hansen, Lars Kai
(Main Supervisor)
Winther, Ole
(Supervisor)
Kaski, Samuel
(Examiner)
Larsen, Jan
(Examiner)
Jensen, Søren Holdt
(Examiner)
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
01/08/2009
→
30/08/2013
Funding
Technical University of Denmark
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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.
Machine Learning
Computer Science
100%
Kernel Method
Computer Science
100%
Component Analysis
Computer Science
75%
Principal Components
Computer Science
75%
de-noising
Computer Science
50%
Support Vector Machine
Computer Science
50%
Stable Solution
Computer Science
25%
Feature Extraction
Computer Science
25%
Research output
Research output per year
2013
2013
2013
1
Ph.D. thesis
Research output per year
Research output per year
Kernel Methods for Machine Learning with Life Science Applications
Abrahamsen, T. J.,
2013
, Kgs. Lyngby:
Technical University of Denmark
.
168 p.
(PHD-2013; No. 299).
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Machine Learning
100%
Kernel Method
100%
Learning System
100%
Component Analysis
75%
Principal Components
75%
2367
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