1 citations · 3 across the 4 of their papers we have counts for
3 papers · 1 filter
A Generalized Hierarchical Nonnegative Tensor Decomposition
Joshua Vendrow, Jamie Haddock, Deanna Needell
Nonnegative matrix factorization (NMF) has found many applications including topic modeling and document analysis. Hierarchical NMF (HNMF) variants are able to learn topics at vari…
Analysis of Legal Documents via Non-negative Matrix Factorization Methods
Ryan Budahazy, Lu Cheng, Yihuan Huang +7
The California Innocence Project (CIP), a clinical law school program aiming to free wrongfully convicted prisoners, evaluates thousands of mails containing new requests for assist…
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…