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Robust kernel ensemble regression in diversified kernel space with shared parameters.
Zhi-Feng Liu
Liu Chen
Sumet Mehta
Xiang-Jun Shen
Yu-bao Cui
Published in:
Appl. Intell. (2023)
Keyphrases
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kernel space
principal component regression
principal components
feature space
hyperplane
high dimensional
training data
neural network
maximum margin
regression problems
expectation maximization
regression model
support vector
pattern recognition
maximum likelihood
support vector machine
partial least squares