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» Sampling the Web as Training Data for Text Classification
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BMCBI
2005
160views more  BMCBI 2005»
15 years 2 months ago
Data-poor categorization and passage retrieval for Gene Ontology Annotation in Swiss-Prot
Background: In the context of the BioCreative competition, where training data were very sparse, we investigated two complementary tasks: 1) given a Swiss-Prot triplet, containing...
Frédéric Ehrler, Antoine Geissbü...
JAIR
2010
160views more  JAIR 2010»
15 years 1 months ago
Constructing Reference Sets from Unstructured, Ungrammatical Text
Vast amounts of text on the Web are unstructured and ungrammatical, such as classified ads, auction listings, forum postings, etc. We call such text “posts.” Despite their in...
Matthew Michelson, Craig A. Knoblock
ICANN
2007
Springer
15 years 6 months ago
Resilient Approximation of Kernel Classifiers
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
Thorsten Suttorp, Christian Igel
142
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PRIS
2008
15 years 4 months ago
Comparison of Adaboost and ADTboost for Feature Subset Selection
Abstract. This paper addresses the problem of feature selection within classification processes. We present a comparison of a feature subset selection with respect to two boosting ...
Martin Drauschke, Wolfgang Förstner
ICIP
2010
IEEE
15 years 16 days ago
Metaface learning for sparse representation based face recognition
Face recognition (FR) is an active yet challenging topic in computer vision applications. As a powerful tool to represent high dimensional data, recently sparse representation bas...
Meng Yang, Lei Zhang, Jian Yang, David Zhang