The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: Tutorial

28 May 2019

Papers citing "The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: Tutorial"

7 / 7 papers shown

Title
Testing for Overfitting J. Schmidt 21 2 0 09 May 2023
Sampling Algorithms, from Survey Sampling to Monte Carlo Methods: Tutorial and Literature Review Benyamin Ghojogh Hadi Nekoei Aydin Ghojogh Fakhri Karray Mark Crowley 20 14 0 02 Nov 2020
Dataset Augmentation in Feature Space Terrance Devries Graham W. Taylor 64 428 0 17 Feb 2017
SSD: Single Shot MultiBox Detector Wen Liu Dragomir Anguelov D. Erhan Christian Szegedy Scott E. Reed Cheng-Yang Fu Alexander C. Berg ObjD BDL 229 29,816 0 08 Dec 2015
Optimization with Sparsity-Inducing Penalties Francis R. Bach Rodolphe Jenatton Julien Mairal G. Obozinski 209 1,058 0 03 Aug 2011
On the Doubt about Margin Explanation of Boosting Wei Gao Zhi Zhou UQCV 73 180 0 19 Sep 2010
A survey of cross-validation procedures for model selection Sylvain Arlot Alain Celisse 205 3,594 0 27 Jul 2009