A Note on Semi-Supervised Learning using Markov Random Fields

A Note on Semi-Supervised Learning using Markov Random Fields (2004)

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by Wei Li , Andrew Mccallum

Citations:

4 - 3 self

BibTeX

@TECHREPORT{Li04anote,
    author = {Wei Li and Andrew Mccallum},
    title = {A Note on Semi-Supervised Learning using Markov Random Fields},
    institution = {},
    year = {2004}
}

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Abstract

This paper describes conditional-probability training of Markov random fields using combinations of labeled and unlabeled data. We capture the similarities between instances learning the appropriate distance metric from the data. The likelihood model and several training procedures are presented.

Citations

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1	Semi-supervised learning using distance metrics learned via dirichlet trees (unpublished work - McCallum, Minka - 1999