Sage Journals: Discover world-class research

Open access

Review article

First published 2014

Overcome Support Vector Machine Diagnosis Overfitting

Henry Han, Xiaoqian Jiang

Cancer Informatics

Open access

Research article

First published 2019-11

Artificial intelligence and machine learning: Practical aspects of overfitting and regularization

Daniel Vasicek

Information Services and Use

Retricted access

Research article

First published 2013-12

On Overfitting in Analysis of Symmetrically Predicted Endogenous Subgroups From Randomized Experimental Samples

Eleanor L. Harvill, Laura R. Peck, Stephen H. Bell

American Journal of Evaluation

Open access

Research article

First published 2020-2-4

Overfitting,robustness,and malicious algorithms: A study of potential causes of privacy risk in machine learning

Samuel Yeom, Irene Giacomelli, Alan Menaged [...]

Journal of Computer Security

Retricted access

Research article

First published 2014-8

Near Infrared Hyperspectral Image Regression: On the Use of Prediction Maps as a Tool for Detecting Model Overfitting

Aoife Gowen, James Burger, Carlos Esquerre [...]

Journal of Near Infrared Spectroscopy

Retricted access

Research article

First published 2023-2

Overfitting Prevention in Accident Prediction Models: Bayesian Regularization of Artificial Neural Networks

Nicholas Fiorentini, Diletta Pellegrini, Massimo Losa

Transportation Research Record: Journal of the Transportation Research Board

Retricted access

Research article

First published 2018-6-21

How hard is it to pick the right model? MCS and backtest overfitting

Diego Aparicio, Marcos López de Prado

Algorithmic Finance

Retricted access

Other

First published 2002-2

Models,Predictions and Overfitting

Tom Fearn

NIR news

Open access

Other

First published 2013-4

Weak Priors versus Overfitting of Predictions in Autism: Reply to Pellicano and Burr ( TICS,2012)

Sander Van de Cruys, Lee de-Wit, Kris Evers [...]

i-Perception

Open access

Research article

First published 2021-12

Developing clinical prediction models when adhering to minimum sample size recommendations: The importance of quantifying bootstrap variability in tuning parameters and predictive performance

Glen P Martin, Richard D Riley, Gary S Collins [...]

Statistical Methods in Medical Research

Search results