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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"

21 / 21 papers shown

Title
Malware Detection at the Edge with Lightweight LLMs: A Performance Evaluation Christian Rondanini B. Carminati E. Ferrari Antonio Gaudiano Ashish Kundu 112 0 0 06 Mar 2025
Simmering: Sufficient is better than optimal for training neural networks Irina Babayan Hazhir Aliahmadi G. Anders 46 0 0 25 Oct 2024
A Computer Vision-Based Quality Assessment Technique for the automatic control of consumables for analytical laboratories Meriam Zribi Paolo Pagliuca Francesca Pitolli 35 2 0 16 Apr 2024
Registration of algebraic varieties using Riemannian optimization Florentin Goyens C. Cartis Stéphane Chrétien 3DPC 51 0 0 16 Jan 2024
Analyses and Concerns in Precision Medicine: A Statistical Perspective Xiaofei Chen 8 2 0 12 Jan 2024
NetTiSA: Extended IP Flow with Time-series Features for Universal Bandwidth-constrained High-speed Network Traffic Classification Josef Koumar Karel Hynek Jaroslav Pesek T. Čejka 25 10 0 09 Oct 2023
Testing for Overfitting J. Schmidt 31 2 0 09 May 2023
Predict NAS Multi-Task by Stacking Ensemble Models using GP-NAS Kecheng Zhang 10 0 0 02 May 2023
Who could be behind QAnon? Authorship attribution with supervised machine-learning F. Cafiero Jean-Baptiste Camps 18 7 0 03 Mar 2023
Performance and Interpretability Comparisons of Supervised Machine Learning Algorithms: An Empirical Study A. J. Liu Arpita Mukherjee Linwei Hu Jie Chen V. Nair 49 3 0 27 Apr 2022
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks Dominik Muller Iñaki Soto Rey Frank Kramer 58 59 0 27 Jan 2022
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley GAN 100 12 0 26 Nov 2021
Cascade Bagging for Accuracy Prediction with Few Training Samples Ruyi Zhang Ziwei Yang Zhi Yang Xubo Yang Lei Wang Zheyang Li UQCV 60 1 0 12 Aug 2021
Johnson-Lindenstrauss Lemma, Linear and Nonlinear Random Projections, Random Fourier Features, and Random Kitchen Sinks: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley 87 11 0 09 Aug 2021
Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley BDL AI4CE 39 8 0 26 Jul 2021
MTH-IDS: A Multi-Tiered Hybrid Intrusion Detection System for Internet of Vehicles Li Yang Abdallah Moubayed Abdallah Shami 66 239 0 26 May 2021
Sampling Algorithms, from Survey Sampling to Monte Carlo Methods: Tutorial and Literature Review Benyamin Ghojogh Hadi Nekoei Aydin Ghojogh Fakhri Karray Mark Crowley 35 14 0 02 Nov 2020
Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified Sampling Parisa Abdolrahim Poorheravi Benyamin Ghojogh Vincent C. Gaudet Fakhri Karray Mark Crowley 15 5 0 29 Sep 2020
Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces Benyamin Ghojogh Fakhri Karray Mark Crowley 21 2 0 05 Apr 2020
Isolation Mondrian Forest for Batch and Online Anomaly Detection Haoran Ma Benyamin Ghojogh Maria N. Samad Dongyu Zheng Mark Crowley 59 27 0 08 Mar 2020
Fisher and Kernel Fisher Discriminant Analysis: Tutorial Benyamin Ghojogh Fakhri Karray Mark Crowley 63 41 0 22 Jun 2019