Kernel Regression with Sparse Metric Learning.

Rongqing Huang Shiliang Sun

Published in: CoRR (2017)

Keyphrases

kernel regression
sparse metric learning
dimension reduction
regression model
nadaraya watson
metric learning
learning models
regression methods
linear regression
parameter optimization
distance metric
partial least squares
machine learning
higher order
genetic algorithm ga
random fields