Multiview semi-supervised learning with consensus

Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications. Semi-supervised learning aims to improve the performance of a classifier trained with limited number of labeled data by utilizing the unlabeled ones. This paper demonstrates a way to...

Full description

Saved in:
Bibliographic Details
Main Authors: LI, Guangxia, CHANG, Kuiyu, HOI, Steven C. H.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/2283
https://ink.library.smu.edu.sg/context/sis_research/article/3283/viewcontent/Multiview_semi_supervised_learning_consensus_2012_afv.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English