Results 21 to 30 of about 167,467 (260)

Hierarchically Reorganized Multi-Layer Fuzzy Neural Networks Architecture Driven With the Aid of Node Selection Strategies and Structural Network Optimization

IEEE Access, 2022
In this study, a design methodology based on fuzzy sets inference and polynomial neural network(PNN) for hierarchically reorganized self-organizing network architecture is introduced to cope with over-fitting as well as multi-collinearity problems which ...
Zheng Wang, Sung-Kwun Oh, Eun-Hu Kim, Zunwei Fu, Witold Pedrycz   +4 more
doaj   +1 more source

Information-Corrected Estimation: A Generalization Error Reducing Parameter Estimation Method

Entropy, 2021
Modern computational models in supervised machine learning are often highly parameterized universal approximators. As such, the value of the parameters is unimportant, and only the out of sample performance is considered.
Matthew Dixon, Tyler Ward
doaj   +1 more source

Fall Detection System Based on Simple Threshold Method and Long Short-Term Memory: Comparison with Hidden Markov Model and Extraction of Optimal Parameters

Applied Sciences, 2022
In an aging global society, a few complex problems have been occurring due to falls among the increasing elderly population. Therefore, falls are detected using a pendant-type sensor that can be worn comfortably for fall detection.
Seung Su Jeong, Nam Ho Kim, Yun Seop Yu
doaj   +1 more source

SAR Target Recognition Based on Inception and Fully Convolutional Neural Network Combining Amplitude Domain Multiplicative Filtering Method

Remote Sensing, 2022
The research of Synthetic aperture radar (SAR) target recognition plays a significant role in military and civilian fields. However, for small sample SAR target recognition, there are some problems that need to be solved urgently, including low ...
He Chen, Xiongjun Fu, Jian Dong
doaj   +1 more source

Enhanced Spatial Stream of Two-Stream Network Using Optical Flow for Human Action Recognition

Applied Sciences, 2023
Introduction: Convolutional neural networks (CNNs) have maintained their dominance in deep learning methods for human action recognition (HAR) and other computer vision tasks.
Shahbaz Khan, Ali Hassan, Farhan Hussain, Aqib Perwaiz, Farhan Riaz, Maazen Alsabaan, Wadood Abdul   +6 more
doaj   +1 more source

The Fairness Stitch: A Novel Approach for Neural Network Debiasing

Acta Informatica Pragensia
The pursuit of fairness in machine learning models has become increasingly crucial across various applications, including bank loan approval and face detection.
Modar Sulaiman, Kallol Roy
doaj   +1 more source

Improving Panic Disorder Classification Using SMOTE and Random Forest

Journal of Applied Informatics and Computing
Panic disorder is a serious anxiety disorder that can significantly impact an individual's mental health. If left undetected, this disorder can disrupt daily life, social relationships, and overall quality of life.
Dini Nurmalasari, Heri R Yuliantoro, Dini Hidayatul Qudsi   +2 more
doaj   +1 more source

Robust Moiety Model Selection Using Mass Spectrometry Measured Isotopologues

Metabolites, 2020
Stable isotope resolved metabolomics (SIRM) experiments use stable isotope tracers to provide superior metabolomics datasets for metabolic flux analysis and metabolic modeling.
Huan Jin, Hunter N.B. Moseley
doaj   +1 more source

A comparison of deep convolutional neural networks for image-based detection of concrete surface cracks

Computer Assisted Methods in Engineering and Science, 2019
The aim of this paper is to compare the performance of four deep convolutional neural networks in the problem of image-based automated detection of concrete surface cracks in the case of a small dataset.
Marek Słoński
doaj   +1 more source

Overfitting Avoidance as Bias [PDF]

Machine Learning, 1993
Strategies for increasing predictive accuracy through selective pruning have been widely adopted by researchers in decision tree induction. It is easy to get the impression from research reports that there are statistical reasons for believing that these overfitting avoidance strategies do increase accuracy and that, as a research community, we are ...
openaire   +2 more sources