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Speedy local search for semi-supervised regularized least-squares
Fabian Gieseke
*
, Oliver Kramer, Antti Airola, Tapio Pahikkala
*
Corresponding author for this work
1
Citation (Scopus)
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Dive into the research topics of 'Speedy local search for semi-supervised regularized least-squares'. Together they form a unique fingerprint.
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Keyphrases
Unlabeled Data
100%
Local Search
100%
Regularized Least Squares
100%
Optimization Problem
50%
Machine Learning
50%
Labeled Data
50%
Performance Prediction
50%
Efficient Implementation
50%
Semi-supervised Method
50%
Matrix Updates
50%
Computer Science
Unlabeled Data
100%
Least Squares Method
100%
Search Strategy
50%
Efficient Implementation
50%
Machine Learning
50%
Learning System
50%
Candidate Solution
50%
Support Vector Machine
50%
Prediction Performance
50%
Optimization Problem
50%