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» Learning Classifiers from Semantically Heterogeneous Data
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PKDD
2005
Springer
125views Data Mining» more  PKDD 2005»
14 years 2 months ago
A Propositional Approach to Textual Case Indexing
Abstract. Problem solving with experiences that are recorded in text form requires a mapping from text to structured cases, so that case comparison can provide informed feedback fo...
Nirmalie Wiratunga, Robert Lothian, Sutanu Chakrab...
CVPR
2005
IEEE
14 years 10 months ago
A Two Level Approach for Scene Recognition
Classifying pictures into one of several semantic categories is a classical image understanding problem. In this paper, we present a stratified approach to both binary (outdoor-in...
Le Lu, Kentaro Toyama, Gregory D. Hager
SEMWEB
2009
Springer
14 years 3 months ago
Coloring RDF Triples to Capture Provenance
Abstract. Recently, the W3C Linking Open Data effort has boosted the publication and inter-linkage of large amounts of RDF datasets on the Semantic Web. Various ontologies and know...
Giorgos Flouris, Irini Fundulaki, Panagiotis Pedia...
IPMI
2003
Springer
14 years 9 months ago
Feature Selection for Shape-Based Classification of Biological Objects
Abstract. In this paper, feature selection methodology from the machine learning literature is applied to the problem of shape-based classification. This methodology discards stati...
Paul A. Yushkevich, Sarang C. Joshi, Stephen M. Pi...
HAIS
2011
Springer
13 years 4 days ago
Clustering Ensemble for Spam Filtering
One of the main problems that modern e-mail systems face is the management of the high degree of spam or junk mail they recieve. Those systems are expected to be able to distinguis...
Santiago Porras, Bruno Baruque, Belén Vaque...