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Multiple model regression estimation
Vladimir Cherkassky
, Yunqian Ma
Electrical and Computer Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
53
Scopus citations
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Dive into the research topics of 'Multiple model regression estimation'. Together they form a unique fingerprint.
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Keyphrases
Classification Basis
50%
Learning Methods
50%
Model Formulation
50%
Multiple Model Adaptive Estimation
100%
Multiple Regression
50%
Multiple Regression Model
100%
New Learning
50%
Real-life Data
50%
Regression Estimation
100%
Regression-based Method
50%
Single Model
50%
Statistical Model
50%
Support Vector Machine
50%
Training Data
50%
Engineering
Data Sample
100%
Illustrates
100%
Mathematical Model
100%
Real Life
100%
Support Vector Machine
100%
Mathematics
Data Sample
33%
Model Formulation
33%
Multiple Model
100%
Multiple Regression
33%
Multiple Regression Model
33%
Real Life
33%
Regression Estimation
100%
Support Vector Machine
33%
Training Data
33%
Computer Science
Support Vector Machine
100%
Training Data
100%