Enhancing the performance of semi-supervised classification algorithms with bridging

Enhancing the performance of semi-supervised classification algorithms with bridging

Traditional supervised classification algorithms require a large number of labelled examples to perform accurately. Semi-supervised classification algorithms attempt to overcome this major limitation by also using unlabelled examples. Unlabelled examples have also been used to improve nearest neighb...

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Bibliographic Details
Main Authors: CHAN, Jason Yuk Hin, POON, Josiah, KOPRINSKA, Irena
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2007
Subjects:
Programming Languages and Compilers
Theory and Algorithms
Online Access:https://ink.library.smu.edu.sg/sis_research/7646
https://ink.library.smu.edu.sg/context/sis_research/article/8649/viewcontent/Enhancing_the_performance_of_semi_supervised_classification_algorithms_with_bridging.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/7646
https://ink.library.smu.edu.sg/context/sis_research/article/8649/viewcontent/Enhancing_the_performance_of_semi_supervised_classification_algorithms_with_bridging.pdf

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