Exploring Predictive States via Cantor Embeddings and Wasserstein Distance.

Samuel P. Loomis James P. Crutchfield

Published in: CoRR (2022)

Keyphrases

neural network
distance measure
predictive model
artificial neural networks
vector space
distance metric
distance function
manifold learning
databases
dimensionality reduction
pointwise
minimum distance
high dimensional data
semi supervised
feature space
state variables
machine learning
inversely proportional