3 papers
cs.LG2020
GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification
John T. Halloran, David M. Rocke
One of the most efficient methods to solve L2-regularized primal problems, such as logistic regression and linear support vector machine (SVM) classification, is the widely used tr…
q-bio.QM2019
Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra
John T. Halloran, David M. Rocke
The most widely used technology to identify the proteins present in a complex biological sample is tandem mass spectrometry, which quickly produces a large collection of spectra re…
q-bio.QM2019
Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra
John T. Halloran, David M. Rocke
Tandem mass spectrometry (MS/MS) is a high-throughput technology used toidentify the proteins in a complex biological sample, such as a drop of blood. A collection of spectra is ge…