Interpretable Models for Understanding Immersive Simulations

IJCAI 2020, pp. 2319-2325, 2020.

Cited by: 0|Views45
EI
Weibo:
Our results are important for any unsupervised machine learning task for which interpretability is an important criterion, because in such cases the model selection problem will be encountered

Abstract:

This paper describes methods for comparative evaluation of the interpretability of models of high dimensional time series data inferred by unsupervised machine learning algorithms. The time series data used in this investigation were logs from an immersive simulation like those commonly used in education and healthcare training. The struc...More

Code:

Data:

0
Your rating :
0

 

Tags
Comments