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In this tutorial, we survey this subject with a principal focus on the most well-known models based on kernel substitution, namely, support vector machines.
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Additionally, PDF estimators based on kernel functions are also developed.
In the paper, we presented a new computational framework based on kernel sparse representation theory to predict S-nitrosylation sites.
However, some other feature extraction methods have put forward new ways which are based on kernels.
Based on reproducing kernel theory, reproducing kernel functions with polynomial form will be constructed in the reproducing kernel spaces spanned by the Chebyshev basis polynomials.
To this end, we first define the local kernel alignment based on centralized kernel alignment.
A kernel optimization method based on fusion kernel for high-resolution range profile (HRRP) is proposed in this paper.
Treatment regimes based on opiate substitution (eg, with methadone and buprenorphine) have strong scientific evidence of effectiveness.
The data embedding operation is performed based on pattern substitution.
The implementation of SPC is based on the substitution of key path components using regular expressions.
We present a new method based on phylogenetic substitution mapping.
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