hulfun: A Huber loss function
In RKUM: Robust Kernel Unsupervised Methods
hulfun R Documentation
A Huber loss function
Description
Tuning constants of the Huber loss fuction are fixed in different quintiles of the arguments.
Usage
hulfun(x)
Arguments
x
a vector values
Details
Tuning constants of the Huber fuction is fixed as a median.
Value
a real number
Author(s)
Md Ashad Alam
<malam@tulane.edu>
References
Md Ashad Alam, Kenji Fukumizu and Yu-Ping Wang (2018),
Influence Function and Robust Variant of Kernel Canonical Correlation Analysis,
Neurocomputing, Vol. 304 (2018) 12-29.
M. Romanazzi (1992),
Influence in canonical correlation analysis,
Psychometrika
vol 57(2) (1992) 237-259.
See Also
See also as halfun
RKUM documentation built on June 22, 2022, 9:06 a.m.
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| hulfun | R Documentation |
A Huber loss function
Description
Tuning constants of the Huber loss fuction are fixed in different quintiles of the arguments.
Usage
hulfun(x)
Arguments
x |
a vector values |
Details
Tuning constants of the Huber fuction is fixed as a median.
Value
a real number
Author(s)
Md Ashad Alam <malam@tulane.edu>
References
Md Ashad Alam, Kenji Fukumizu and Yu-Ping Wang (2018), Influence Function and Robust Variant of Kernel Canonical Correlation Analysis, Neurocomputing, Vol. 304 (2018) 12-29.
M. Romanazzi (1992), Influence in canonical correlation analysis, Psychometrika vol 57(2) (1992) 237-259.
See Also
See also as halfun
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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