28 citations · 29 across the 4 of their papers we have counts for
5 papers
Jordan algebras, hemiplex numbers, and the Cholesky decomposition of arbitrary symmetric matrices
Alan Edelman, Timothy E. Holy
Positive-semidefinite matrices are most efficiently factored using the Cholesky decomposition. For indefinite matrices, the Cholesky factorization does not exist, and the alternati…
An optimal pairwise merge algorithm improves the quality and consistency of nonnegative matrix factorization
Youdong Guo, Timothy E. Holy
Non-negative matrix factorization (NMF) is a key technique for feature extraction and widely used in source separation. However, existing algorithms may converge to poor local mini…
GSVD-NMF: Recovering Missing Features in Non-negative Matrix Factorization
Youdong Guo, Timothy E. Holy
Non-negative matrix factorization (NMF) is an important tool in signal processing and widely used to separate mixed sources into their components. Algorithms for NMF require that t…
Julia for Biologists
Elisabeth Roesch, Joe G. Greener, Adam L. MacLean +4
Increasing emphasis on data and quantitative methods in the biomedical sciences is making biological research more computational. Collecting, curating, processing, and analysing la…
The Analysis of Data from Continuous Probability Distributions
Timothy E. Holy
Conventional statistics begins with a model, and assigns a likelihood of obtaining any particular set of data. The opposite approach, beginning with the data and assigning a likeli…