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IMCSIT
2010
14 years 7 months ago
Learning taxonomic relations from a set of text documents
This paper presents a methodology for learning taxonomic relations from a set of documents that each explain one of the concepts. Three different feature extraction approaches with...
Mari-Sanna Paukkeri, Alberto Pérez Garc&iac...
OZCHI
2006
ACM
15 years 3 months ago
Learning from interactive museum installations about interaction design for public settings
This paper reports on the evaluation of a digitallyaugmented exhibition on the history of modern media. We discuss visitors’ interaction with installations and corresponding int...
Eva Hornecker, Matthias Stifter
ICPR
2008
IEEE
15 years 11 months ago
Multiple kernel learning from sets of partially matching image features
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
JMLR
2008
104views more  JMLR 2008»
14 years 9 months ago
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
In this paper, the naive credal classifier, which is a set-valued counterpart of naive Bayes, is extended to a general and flexible treatment of incomplete data, yielding a new cl...
Giorgio Corani, Marco Zaffalon