ttnsr

<p>a continuous-valued tensor (latent parameters)</p>

theta

omega

<p>Compute Bayesian Information Criterion (BIC) given a parameter tensor, an observed tensor, the dimension, and the rank</p>

Efficient algorithm for tensor noise reduction and completion of ordinal tensor data based on the cumulative link model. The algorithm employs the alternating optimization approach. The detailed algorithm description can be found in Lee and Wang, Proceedings of International Conference on Machine Learning, 119:5778-5788, 2020.

bic: Bayesian Information Criterion (BIC) value

Description

Usage

Arguments

Value