Develops MOS Karhunen-Loeve features from stochastic tensor spaces to generate robust ML features from random fields, reporting high accuracy on Alzheimer's blood plasma data for predicting disease stages.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2021 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Stochastic tensor space feature theory with applications to robust machine learning
Develops MOS Karhunen-Loeve features from stochastic tensor spaces to generate robust ML features from random fields, reporting high accuracy on Alzheimer's blood plasma data for predicting disease stages.