A Semi-Supervised Learning Approach to Quality-Based Web Service Classification
The Internet provides a platform for sharing services, and web service brokers help users to choose the suitable service among similar services based on ranking. The quality of service is important in evaluating the services the user needs. However, finding a quality-based data label in many fields...
Saved in:
Main Authors: | Mehdi Nozad Bonab, Jafar Tanha, Mohammad Masdari |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10491237/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Corrections to “A Semi-Supervised Learning Approach to Quality-Based Web Service Classification”
by: Mehdi Nozad Bonab, et al.
Published: (2025-01-01) -
UKSSL: Underlying Knowledge Based Semi-Supervised Learning for Medical Image Classification
by: Zeyu Ren, et al.
Published: (2024-01-01) -
Safeguards-related event detection in surveillance video using semi-supervised learning approach
by: Se-Hwan Park, et al.
Published: (2025-02-01) -
SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis
by: Petr Ivanov, et al.
Published: (2025-01-01) -
Semi-Supervised Machine Learning for Fault Detection and Diagnosis of a Rooftop Unit
by: Mohammed G. Albayati, et al.
Published: (2023-06-01)