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ICGI
1998
Springer
15 years 11 months ago
Meaning Helps Learning Syntax
In this paper, we propose a new framework for the computational learning of formal grammars with positive data. In this model, both syntactic and semantic information are taken int...
Isabelle Tellier
173
Voted
ALT
1999
Springer
15 years 11 months ago
PAC Learning with Nasty Noise
We introduce a new model for learning in the presence of noise, which we call the Nasty Noise model. This model generalizes previously considered models of learning with noise. Th...
Nader H. Bshouty, Nadav Eiron, Eyal Kushilevitz
EUROCOLT
1999
Springer
15 years 11 months ago
Learning Range Restricted Horn Expressions
We study the learnability of first order Horn expressions from equivalence and membership queries. We show that the class of expressions where every term in the consequent of a c...
Roni Khardon
BSN
2006
IEEE
131views Sensor Networks» more  BSN 2006»
16 years 27 days ago
Elaborating Sensor Data using Temporal and Spatial Commonsense Reasoning
Ubiquitous computing has established a vision of computation where computers are so deeply integrated into our lives that they become both invisible and everywhere. In order to ha...
Bo Morgan, Push Singh
OTM
2009
Springer
16 years 1 months ago
Positionalism of Relations and Its Consequences for Fact-Oriented Modelling
Natural language-based conceptual modelling as well as the use of diagrams have been essential components of fact-oriented modelling from its inception. However, transforming natur...
C. Maria Keet