classification labeled
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Semi-Supervised Learning of Mixture Models
White Paper The authors show that unlabeled data can lead to an increase in classification error even in situations where additional labeled data would decrease classification error. This paper... [07 Nov 2007]
Learning From Labeled and Unlabeled Data on a Directed Graph
White Paper This paper proposes a general framework for learning from labeled and unlabeled data on a directed graph in which the structure of the graph including the directionality of the edges is considered. In the absence of... [09 Jun 2007]
Wrapper Induction for End-User Semantic Content Development
White Paper These patterns allow users to overlay documents with RDF classes and properties, and then to interact with this labeled content within a larger Semantic Web application, such as Haystack. The transition from existing... [24 Feb 2005]
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