Results 1 to 10 of about 6,721 (112)
Benign overfitting in linear regression [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2020 The phenomenon of benign overfitting is one of the key mysteries uncovered by deep learning methodology: deep neural networks seem to predict well, even with a perfect fit to noisy training data. Motivated by this phenomenon, we consider when a perfect fit to training data in linear regression is compatible with accurate prediction.
Philip Long +2 more
exaly +7 more sources
Overfitting Reduction of Text Classification Based on AdaBELM
Entropy, 2017 Overfitting is an important problem in machine learning. Several algorithms, such as the extreme learning machine (ELM), suffer from this issue when facing high-dimensional sparse data, e.g., in text classification. One common issue is that the extent of
Yanchun Liang +2 more
exaly +3 more sources
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting
IEEE AccessIn software engineering, deep learning models are increasingly deployed for critical tasks such as bug detection and code review. However, overfitting remains a challenge that affects the quality, reliability, and trustworthiness of software systems that
Cor-Paul Bezemer +2 more
exaly +3 more sources
Machine Learning Students Overfit to Overfitting
CoRR, 2022 5 pages, with appendix, TeachML workshop @ ECML ...
Matias Valdenegro-Toro +1 more
openaire +3 more sources
Metals, 2022 The standard ASTM E900-15 provides an analytical expression to determine the transition temperature shift exhibited by Charpy V-notch data at 41-J for irradiated pressure vessel materials as a function of the variables copper, nickel, phosphorus ...
Diego Ferreño +3 more
doaj +1 more source
Fermentation, 2023 Biohydrogen production from microalgae is a potential alternative energy source that is now intensively being researched. The complex natures of the biological processes involved have afflicted the accuracy of traditional modelling and optimization ...
Mohamad Zulfadhli Ahmad Sobri +11 more
doaj +1 more source
Applied Sciences, 2021 Chlorophyll-a (Chla) concentration, which serves as a phytoplankton substitute in inland waters, is one of the leading indicators for water quality. Generally, water samples are analyzed in professional laboratories, and Chla concentrations are measured ...
Muhammad Aldila Syariz +5 more
doaj +1 more source
IEEE Access, 2021 As a basic task in the field of computer vision, target detection has been concerned by many researchers. The performance of target detection method is also directly related to the research in many advanced semantic fields.
Jun Zhang, Yizhen Meng, Zhipeng Chen
doaj +1 more source
On the Properties of Bias-Variance Decomposition for kNN Regression
Известия Иркутского государственного университета: Серия "Математика", 2023 When choosing the optimal complexity of the method for constructing decision functions, an important tool is the decomposition of the quality criterion into bias and variance.
V. M. Nedel’ko
doaj +1 more source
How prevalent is overfitting of regression models? A survey of recent articles in three psychology journals [PDF]
Tutorials in Quantitative Methods for Psychology, 2021 Since 2011, there has been much discussion and concern about a "replication crisis" in psychology. An inability to reproduce findings in new samples can undermine even basic tenets of psychology.
Dalicandro, Lauren +3 more
doaj +1 more source