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Xu caiが第一著者
In this paper, a normalizing constant on RKHS is considered as follows:
Z(f)=∫De−λxdx,λ>0 Z(f) = \int_{D} e^{- \lambda x} dx, \quad \lambda > 0 Z(f)=∫De−λxdx,λ>0
This method considers the lower bound and the upper bound of
f∈RKHS f \in RKHS f∈RKHS
This method considers the noiseless setting and the noisy setting for the lower bound of f, respectively.
Applicable to a multi-layer perception, a point spread function.
So authors conducted experiments with various f.
Then consider the results with these experiments.
In this paper, a normalizing constant on RKHS is considered as follows:
Z(f)=∫De−λxdx,λ>0 Z(f) = \int_{D} e^{- \lambda x} dx, \quad \lambda > 0 Z(f)=∫De−λxdx,λ>0
This method considers the lower bound and the upper bound of
f∈RKHS f \in RKHS f∈RKHS
This method considers the noiseless setting and the noisy setting for the lower bound of f, respectively.
Applicable to a multi-layer perception, a point spread function.
So authors conducted experiments with various f.
Then consider the results with these experiments.