1 citations · 2 across the 6 of their papers we have counts for
5 papers · 1 filter
On Application of Block Kaczmarz Methods in Matrix Factorization
Edwin Chau, Jamie Haddock
Matrix factorization techniques compute low-rank product approximations of high dimensional data matrices and as a result, are often employed in recommender systems and collaborati…
Semi-supervised NMF Models for Topic Modeling in Learning Tasks
Jamie Haddock, Lara Kassab, Sixian Li +9
We propose several new models for semi-supervised nonnegative matrix factorization (SSNMF) and provide motivation for SSNMF models as maximum likelihood estimators given specific d…
On a Guided Nonnegative Matrix Factorization
Joshua Vendrow, Jamie Haddock, Elizaveta Rebrova +1
Fully unsupervised topic models have found fantastic success in document clustering and classification. However, these models often suffer from the tendency to learn less-than-mean…
Feature Selection on Lyme Disease Patient Survey Data
Joshua Vendrow, Jamie Haddock, Deanna Needell +1
Lyme disease is a rapidly growing illness that remains poorly understood within the medical community. Critical questions about when and why patients respond to treatment or stay i…
On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition
Miju Ahn, Nicole Eikmeier, Jamie Haddock +7
There is currently an unprecedented demand for large-scale temporal data analysis due to the explosive growth of data. Dynamic topic modeling has been widely used in social and dat…