Model Input-Output Configuration Search With Embedded Feature Selection for Sensor Time-Series and Image Classification

Model Input-Output Configuration Search With Embedded Feature Selection for Sensor Time-Series and Image Classification

Machine learning is a powerful tool for extracting valuable information and making various predictions from diverse datasets. Traditional machine learning algorithms rely on well-defined input and output variables; however, there are scenarios where the separation between the input and output variab...

Full description

Saved in:
Bibliographic Details
Main Authors: Anh Tuan Hoang, Zsolt Janos Viharos
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Feature selection
input output configuration search
machine learning
neural network architectures
optimal model structure
Online Access:https://ieeexplore.ieee.org/document/10943129/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10943129/

Similar Items