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» A Framework for Robust Semantic Interpretation Learning
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ESOP
2010
Springer
13 years 8 months ago
A Semantic Framework for Declassification and Endorsement
Language-based information flow methods offer a principled way to enforce strong security properties, but enforcing noninterference is too inflexible for realistic applications. Se...
Aslan Askarov, Andrew Myers
ICDAR
2009
IEEE
13 years 3 months ago
Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
AUTOMATICA
2006
81views more  AUTOMATICA 2006»
13 years 5 months ago
An energy-gain bounding approach to robust fuzzy identification
A novel method for the robust identification of interpretable fuzzy models, based on the criterion that identification errors are least sensitive to data uncertainties and modelli...
Mohit Kumar, Norbert Stoll, Regina Stoll
JMLR
2012
11 years 7 months ago
Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
Open-text semantic parsers are designed to interpret any statement in natural language by inferring a corresponding meaning representation (MR – a formal representation of its s...
Antoine Bordes, Xavier Glorot, Jason Weston, Yoshu...
EKAW
2004
Springer
13 years 10 months ago
Semantic Webs for Learning: A Vision and Its Realization
Abstract. Augmenting web pages with semantic contents, i.e., building a ‘Semantic Web’, promises a number of benefits for web users in general and learners in particular. Seman...
Arthur Stutt, Enrico Motta