Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression

15 March 2023

Papers citing "Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression"

8 / 8 papers shown

Title
A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators Sicheng Li M. Zacharias J. Snuverink J. C. D. Portugal Fernando Perez-Cruz D. Reggiani Andreas Adelmann AI4TS 42 16 0 01 Feb 2021
Superconducting radio-frequency cavity fault classification using machine learning at Jefferson Laboratory C. Tennant A. Carpenter T. Powers A. Solopova Lasitha Vidyaratne Khan M. Iftekharuddin 43 44 0 11 Jun 2020
An Introduction to Convolutional Neural Networks K. O’Shea Ryan Nash FaML HAI 79 3,159 0 26 Nov 2015
Fast Two-Sample Testing with Analytic Representations of Probability Measures Kacper P. Chwialkowski Aaditya Ramdas Dino Sejdinovic Arthur Gretton 61 155 0 15 Jun 2015
Training generative neural networks via Maximum Mean Discrepancy optimization Gintare Karolina Dziugaite Daniel M. Roy Zoubin Ghahramani GAN 84 530 0 14 May 2015
Universality, Characteristic Kernels and RKHS Embedding of Measures Bharath K. Sriperumbudur Kenji Fukumizu Gert R. G. Lanckriet 224 531 0 03 Mar 2010
Hilbert space embeddings and metrics on probability measures Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu Bernhard Schölkopf Gert R. G. Lanckriet 217 747 0 30 Jul 2009
A Kernel Method for the Two-Sample Problem Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alex Smola 233 2,365 0 15 May 2008