1 citations · 2 across the 3 of their papers we have counts for
3 papers
physics.bio-ph2022★ 1 cited
Learning the shape of protein micro-environments with a holographic convolutional neural network
Michael N. Pun, Andrew Ivanov, Quinn Bellamy +5
Proteins play a central role in biology from immune recognition to brain activity. While major advances in machine learning have improved our ability to predict protein structure f…
stat.ML2015
An objective prior that unifies objective Bayes and information-based inference
Colin H. LaMont, Paul A. Wiggins
There are three principle paradigms of statistical inference: (i) Bayesian, (ii) information-based and (iii) frequentist inference. We describe an objective prior (the weighting or…
physics.data-an2015★ 1 cited
The development of an information criterion for Change-Point Analysis
Paul A. Wiggins, Colin H. LaMont
Change-point analysis is a flexible and computationally tractable tool for the analysis of times series data from systems that transition between discrete states and whose observab…