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ARGMAS
2007
Springer
14 years 6 days ago
Arguing and Explaining Classifications
Argumentation is a promising approach used by autonomous agents for reasoning about inconsistent knowledge, based on the construction and the comparison of arguments. In this pape...
Leila Amgoud, Mathieu Serrurier
CORR
2010
Springer
121views Education» more  CORR 2010»
13 years 3 months ago
Deep Self-Taught Learning for Handwritten Character Recognition
Recent theoretical and empirical work in statistical machine learning has demonstrated the importance of learning algorithms for deep architectures, i.e., function classes obtaine...
Frédéric Bastien, Yoshua Bengio, Arn...
COLING
1996
13 years 9 months ago
The Influence of Tagging on the Classification of Lexical Complements
A large corpus (about 100 MB of text) was selected and examples of 750 fl'equently occurring verbs were tagged with their compleinent (:lass as defined by a large computation...
Catherine Macleod, Adam Meyers, Ralph Grishman
ICML
2005
IEEE
14 years 9 months ago
Learning hierarchical multi-category text classification models
We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
Craig Saunders, John Shawe-Taylor, Juho Rousu, S&a...
CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 8 months ago
Classification of Spreadsheet Errors
This paper describes a framework for a systematic classification of spreadsheet errors. This classification or taxonomy of errors is aimed at facilitating analysis and comprehensi...
Kamalasen Rajalingham, David R. Chadwick, Brian Kn...