Semi-supervised Hierarchical Bayesian Multi-label Classification

Jonathan Serrano-Pérez; Luis Enrique Sucar

doi:10.1007/978-3-031-80366-6_23

ScienceGate Book Chapters

BOOK-CHAPTER

Semi-supervised Hierarchical Bayesian Multi-label Classification

Jonathan Serrano-Pérez Luis Enrique Sucar

Year: 2025 Lecture notes in computer science Pages: 275-286 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-80366-6_23

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Multi-label classification Artificial intelligence Bayesian probability Pattern recognition (psychology) Machine learning Data mining

Metrics

Cited By

9.06

FWCI (Field Weighted Citation Impact)

Refs

0.92

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Algorithms and Data Compression

Physical Sciences → Computer Science → Artificial Intelligence

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Semi-supervised Hierarchical Bayesian Multi-label Classification

Metrics

Citation History

Topics

Related Documents

Applying semi-supervised learning in hierarchical multi-label classification

Semi-supervised Multi-label Classification

Semi-Supervised Predictive Clustering Trees for (Hierarchical) Multi-Label Classification

Robust multi-label semi-supervised classification

Semi-supervised imbalanced multi-label classification with label propagation