Strongly Hierarchical Factorization Machines and ANOVA Kernel Regression.

Ruocheng Guo Hamidreza Alvari Paulo Shakarian

Published in: CoRR (2017)

Keyphrases

kernel regression
regression model
nadaraya watson
linear regression
regression methods
statistically significant
sample size
matrix factorization
parameter optimization
singular value decomposition
feature selection
decision trees
image sequences
support vector
support vector regression