Improving Sample and Feature Selection with Principal Covariates Regression

22 December 2020

Papers citing "Improving Sample and Feature Selection with Principal Covariates Regression"

7 / 7 papers shown

Title
Dislocation cartography: Representations and unsupervised classification of dislocation networks with unique fingerprints Benjamin Udofia Tushar Jogi Markus Stricker 25 0 0 21 Jun 2024
Feature Selection via Robust Weighted Score for High Dimensional Binary Class-Imbalanced Gene Expression Data Zardad Khan Amjad Ali Saeed Aldahmani 39 4 0 23 Jan 2024
Mitigating Denial of Service Attacks in Fog-Based Wireless Sensor Networks Using Machine Learning Techniques Ademola P. Abidoye I. Obagbuwa N. Azeez AAML 14 0 0 10 Sep 2023
On minimizing the training set fill distance in machine learning regression Paolo Climaco Jochen Garcke 15 1 0 20 Jul 2023
A smooth basis for atomistic machine learning Filippo Bigi Kevin K. Huguenin-Dumittan Michele Ceriotti D. Manolopoulos 30 6 0 05 Sep 2022
Characterizing metastable states with the help of machine learning P. Novelli L. Bonati Massimiliano Pontil Michele Parrinello 21 22 0 15 Apr 2022
Optimal radial basis for density-based atomic representations Alexander Goscinski Félix Musil Sergey Pozdnyakov Michele Ceriotti 29 17 0 18 May 2021