GitHub

machine-learning-c-/doc /tutorials

Alternating matrix factorization decomposes a matrix V in the form V ~ WH where W is called the basis matrix and H is called the encoding matrix. V is taken to be of size n x m and the obtained W is n ...
GitHub

mlpack-linkinpony /doc /tutorials

Alternating matrix factorization decomposes a matrix V in the form V ~ WH where W is called the basis matrix and H is called the encoding matrix. V is taken to be of size n x m and the obtained W is n ...
IEEE

Multimodal Core Tensor Factorization and its Applications to Low-Rank Tensor Completion

Abstract: Low-rank tensor completion has been widely used in computer vision and machine learning. This paper develops a novel multimodal core tensor factorization (MCTF) method combined with a tensor ...
Frontiers

Sparseness-constrained nonnegative tensor factorization for detecting topics at different time scales

Temporal text data, such as news articles or Twitter feeds, often comprises a mixture of long-lasting trends and transient topics. Effective topic modeling strategies should detect both types and ...
IEEE

A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction

Abstract: Patent litigation is an expensive and time-consuming legal process. To reduce costs, companies can proactively manage patents using predictive analysis to identify potential plaintiffs, ...