Kernel-based Approach to Handle Mixed Data for Inferring Causal Graphs.

Teny Handhayani James Cussens

Published in: CoRR (2019)

Keyphrases

mixed data
causal graph
similarity function
data compression
data sets
mixture of gaussian distributions
causal models
knn
planning problems
state variables
kernel function
kernel methods
domain specific
support vector
clustering algorithm
pairwise
similarity measure
neural network
database
np hardness
plan generation