Label dependency modeling in Multi-Label Naïve Bayes through input space expansion

Label dependency modeling in Multi-Label Naïve Bayes through input space expansion

<p dir="ltr">In the realm of multi-label learning, instances are often characterized by a plurality of labels, diverging from the single-label paradigm prevalent in conventional datasets. Multi-label techniques often employ a similar feature space to build classification models for e...

Full description

Saved in:
Bibliographic Details
Main Author: PKA Chitra (21749216) (author)
Other Authors: Saravana Balaji Balasubramanian (21749219) (author), Omar Khattab (21749222) (author), Omar Al Kadri (21152969) (author)
Published: 2024
Subjects:
Information and computing sciences
Artificial intelligence
Data management and data science
Machine learning
Software engineering
Mathematical sciences
Statistics
Multi-label Naïve Bayesian classification
Label dependency
Input space expansion
Heterogeneous feature space
Mixed joint density distribution
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items