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Optimization of a network with Gaussian kernel functions based on the estimation of error confidence intervals
R. M. Kil,
I. Koo
Huck Institutes of the Life Sciences
One Health Microbiome Center
Research output
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Contribution to conference
›
Paper
›
peer-review
11
Scopus citations
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Dive into the research topics of 'Optimization of a network with Gaussian kernel functions based on the estimation of error confidence intervals'. Together they form a unique fingerprint.
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Keyphrases
Confidence Interval
100%
Function-based
100%
Error Estimates
100%
Gaussian Kernel
100%
Network Model
60%
Sampling Model
40%
Regression-based Method
20%
Function Approximation
20%
Training Samples
20%
Estimation Model
20%
Suggested Model
20%
Absolute Value
20%
Empirical Risk
20%
Validation Set
20%
Computer Science
Kernel Function
100%
Gaussian Kernel
100%
Function Approximation
33%
Experimental Result
33%
Training Sample
33%
Validation Set
33%
Mathematics
Gaussian Distribution
100%
Confidence Interval
100%
Network Model
60%
Training Sample
20%
Absolute Value
20%
Approximation Function
20%