Cost-Sensitive Feature Extraction and Selection in Genre Classification
LDV-Forum/Journal for language technology and computational linguisticsPublished 1 July 2009Open access
Ryan Levering, Michal Cutler
Citations2
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This paper presents a framework for the extraction of various Web-specific feature groups from distinct data models based on a tree of potentials models and the transformations that create them and provides an algorithm for forming wrapper-based feature selection on this tree.
Abstract
Cost-Sensitive Feature Extraction and Selection in Genre Classifica-
Keywords
Computer Science
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