Matrix factorization techniques have become pivotal in data mining, enabling the extraction of latent structures from large-scale data matrices. These methods decompose complex datasets into lower ...

Sayan Chakraborty, Arnab Bhattacharjee, Taps Maiti, Structural Factorization of Latent Adjacency Matrix, with an application to Auto Industry Networks, Sankhyā: The Indian Journal of Statistics, ...

We developed staNMF, a method that combines a scalable implementation of nonnegative matrix factorization (NMF) with a new stability-driven model selection criterion. When applied to a set of ...

New research from the Wisconsin Institute for Discovery is tackling a complex packing problem. Thanks to the development of a powerful new computational tool introduced in a study published earlier ...

The hippocampus is an important brain region known to support various cognitive (i.e., mental) processes, including the ...

New research from the Wisconsin Institute for Discovery is tackling a complex packing problem. Thanks to the development of a powerful new computational tool introduced in a study published in the ...