Thomas Merkh

Semi-supervised NMF Models for Topic Modeling in Learning Tasks

2020 · arXiv (Cornell University)

We propose several new models for semi-supervised nonnegative matrix factorization (SSNMF) and provide motivation for SSNMF models as maximum likelihood estimators given specific distributions of uncertainty. We present multiplicative updates training methods for each new …