A MFoM learning approach to robust multiclass multi-label text categorization
Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004
Saved in:
Main Authors: | Gao, S., Wu, W., Lee, C.-H., Chua, T.-S. |
---|---|
Other Authors: | COMPUTER SCIENCE |
Format: | Conference or Workshop Item |
Published: |
2013
|
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/40120 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
A Maximal Figure-of-Merit (MFoM)-learning approach to robust classifier design for text categorization
by: Gao, S., et al.
Published: (2013) -
A Maximal Figure-of-Merit Learning Approach to Text Categorization
by: Gao, S., et al.
Published: (2013) -
Transfer learning for visual recognition and text categorization
by: Duan, Lixin
Published: (2012) -
A refinement approach to handling model misfit in text categorization
by: Wu, H., et al.
Published: (2013) -
Intelligent Text Categorization and Clustering
by: Janusz Kacprzyk, Nadia Nedjah, Luiza Macedo Mourelle, Janusz Kacprzyk, Felipe M. G. França, Alberto Ferreira De Souza
Published: (2017)