3 papers
cs.LG2024
Developing the Temporal Graph Convolutional Neural Network Model to Predict Hip Replacement using Electronic Health Records
Zoe Hancox, Sarah R. Kingsbury, Andrew Clegg +2
Background: Hip replacement procedures improve patient lives by relieving pain and restoring mobility. Predicting hip replacement in advance could reduce pain by enabling timely in…
math.NA2020
Computing low-rank approximations of the Fréchet derivative of a matrix function using Krylov subspace methods
Peter Kandolf, Antti Koskela, Samuel D. Relton +1
The Fréchet derivative of the matrix function plays an important role in many different applications, including condition number estimation and network analysis.…
math.NA2020
Sampling of Stochastic Differential Equations using the Karhunen-Loève Expansion and Matrix Functions
Antti Koskela, Samuel D. Relton
We consider linearizations of stochastic differential equations with additive noise using the Karhunen-Loève expansion. We obtain our linearizations by truncating the expansion and…