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» Unsupervised Feature Selection Using Feature Similarity
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IAT
2005
IEEE
14 years 4 months ago
Category-based Similarity Algorithm for Semantic Similarity in Multi-agent Information Sharing Systems
Similarity measures are mechanisms that assign a numeric score indicating how closely two documents, or a document and a query match. The Cosine measure is one of the similarity m...
Sepideh Miralaei, Ali A. Ghorbani
INEX
2009
Springer
14 years 3 months ago
An Exploration of Learning to Link with Wikipedia: Features, Methods and Training Collection
We describe our participation in the Link-the-Wiki track at INEX 2009. We apply machine learning methods to the anchor-to-best-entry-point task and explore the impact of the follow...
Jiyin He, Maarten de Rijke
BMCBI
2007
96views more  BMCBI 2007»
13 years 10 months ago
Features generated for computational splice-site prediction correspond to functional elements
Background: Accurate selection of splice sites during the splicing of precursors to messenger RNA requires both relatively well-characterized signals at the splice sites and auxil...
Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur...
SSDBM
2010
IEEE
188views Database» more  SSDBM 2010»
14 years 3 months ago
Similarity Estimation Using Bayes Ensembles
Similarity search and data mining often rely on distance or similarity functions in order to provide meaningful results and semantically meaningful patterns. However, standard dist...
Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Mat...
NAACL
2007
14 years 5 days ago
A Systematic Exploration of the Feature Space for Relation Extraction
Relation extraction is the task of finding semantic relations between entities from text. The state-of-the-art methods for relation extraction are mostly based on statistical lea...
Jing Jiang, ChengXiang Zhai