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Found 6 papers, 1 papers with code
TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning
In conclusion, TripHLApan is a powerful tool for predicting the binding of HLA-I and HLA-II molecular peptides for the synthesis of tumor vaccines.
A survey of machine learning-based physics event generation
Event generators in high-energy nuclear and particle physics play an important role in facilitating studies of particle reactions.
Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN)
We apply generative adversarial network (GAN) technology to build an event generator that simulates particle production in electron-proton scattering that is free of theoretical assumptions about underlying particle dynamics.
Faster Matrix Completion Using Randomized SVD
Then, with the rSVD-BKI algorithm and a new subspace recycling technique, we accelerate the singular value thresholding (SVT) method in [1] to realize faster matrix completion.
Single-Pass PCA of Large High-Dimensional Data
Principal component analysis (PCA) is a fundamental dimension reduction tool in statistics and machine learning.
A Fast Implementation of Singular Value Thresholding Algorithm using Recycling Rank Revealing Randomized Singular Value Decomposition
In this paper, we present a fast implementation of the Singular Value Thresholding (SVT) algorithm for matrix completion.
Numerical Analysis
