Diagnostic measures for kernel ridge regression on reproducing kernel Hilbert space
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the Korean Statistical Society"
DOI: 10.1016/j.jkss.2019.01.003
Abstract: Abstract The aim of this paper is to define and develop diagnostic measures with respect to kernel ridge regression in a reproducing kernel Hilbert space (RKHS). To identify influential observations, we define a particular version… read more here.
Keywords: regression; regression reproducing; reproducing kernel; diagnostic measures ... See more keywords
An artificial bee colony-based kernel ridge regression for automobile insurance fraud identification
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.12.072
Abstract: Abstract Automobile insurance fraud is gradually spreading in its global scope, and mining automobile insurance fraud is of increasing interest to society. There are few studies on the application of Kernel Ridge Regression (KRR) to… read more here.
Keywords: kernel ridge; insurance fraud; fraud; automobile insurance ... See more keywords
Risk Convergence of Centered Kernel Ridge Regression With Large Dimensional Data
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2020.2975939
Abstract: This paper carries out a large dimensional analysis of a variation of kernel ridge regression that we call centered kernel ridge regression (CKRR), also known in the literature as kernel ridge regression with offset. This… read more here.
Keywords: regression; risk; large dimensional; kernel ridge ... See more keywords
A Computational Study of Potential miRNA-Disease Association Inference Based on Ensemble Learning and Kernel Ridge Regression
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Bioengineering and Biotechnology"
DOI: 10.3389/fbioe.2020.00040
Abstract: As increasing experimental studies have shown that microRNAs (miRNAs) are closely related to multiple biological processes and the prevention, diagnosis and treatment of human diseases, a growing number of researchers are focusing on the identification… read more here.
Keywords: ridge regression; disease; association; mirna disease ... See more keywords
FKRR-MVSF: A Fuzzy Kernel Ridge Regression Model for Identifying DNA-Binding Proteins by Multi-View Sequence Features via Chou’s Five-Step Rule
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Molecular Sciences"
DOI: 10.3390/ijms20174175
Abstract: DNA-binding proteins play an important role in cell metabolism. In biological laboratories, the detection methods of DNA-binding proteins includes yeast one-hybrid methods, bacterial singles and X-ray crystallography methods and others, but these methods involve a… read more here.
Keywords: fuzzy kernel; binding proteins; model; dna binding ... See more keywords
Nuclear Mass Predictions of the Relativistic Density Functional Theory with the Kernel Ridge Regression and the Application to r-Process Simulations
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14061078
Abstract: The kernel ridge regression (KRR) and its updated version taking into account the odd-even effects (KRRoe) are employed to improve the mass predictions of the relativistic density functional theory. Both the KRR and KRRoe approaches… read more here.
Keywords: kernel ridge; ridge regression; mass predictions; predictions relativistic ... See more keywords