General Hyperplane Prior Distributions Based on Geometric Invariances for Bayesian Multivariate Linear Regression.

Udo von Toussaint

Published in: Entropy (2015)

Keyphrases

hyperplane
multivariate linear regression
support vector
training samples
classification procedure
data points
input space
prior knowledge
linear classifiers
maximal margin
data mining
computer vision
feature space
kernel function
linearly separable
incremental learning algorithm