This paper is conceived as a summary of previous works that explored many alternative learning models for classification of documents on structured outputs. We provide a discussion of strong and weak points for each method
Classification Methods for Structured Outputs
Sona, Diego;Avesani, Paolo;Polettini, Nicola
2007-01-01
Abstract
This paper is conceived as a summary of previous works that explored many alternative learning models for classification of documents on structured outputs. We provide a discussion of strong and weak points for each methodFile in questo prodotto:
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