Open Access. Powered by Scholars. Published by Universities.®

Statistical Models Commons

Open Access. Powered by Scholars. Published by Universities.®

Theory and Algorithms

Text mining

Articles 1 - 2 of 2

Full-Text Articles in Statistical Models

Hpcnmf: A High-Performance Toolbox For Non-Negative Matrix Factorization, Karthik Devarajan, Guoli Wang Feb 2016

Hpcnmf: A High-Performance Toolbox For Non-Negative Matrix Factorization, Karthik Devarajan, Guoli Wang

COBRA Preprint Series

Non-negative matrix factorization (NMF) is a widely used machine learning algorithm for dimension reduction of large-scale data. It has found successful applications in a variety of fields such as computational biology, neuroscience, natural language processing, information retrieval, image processing and speech recognition. In bioinformatics, for example, it has been used to extract patterns and profiles from genomic and text-mining data as well as in protein sequence and structure analysis. While the scientific performance of NMF is very promising in dealing with high dimensional data sets and complex data structures, its computational cost is high and sometimes could be critical for …


Caimans - Semantic Platform For Advance Content Mining (Sketch Wp), Salvo Reina Jul 2013

Caimans - Semantic Platform For Advance Content Mining (Sketch Wp), Salvo Reina

Salvo Reina

A middleware SW platform was created for automatic classification of textual contents. The worksheet of requirements and the original flow-sketchs are published.