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ESANN
2007
15 years 8 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
LREC
2008
89views Education» more  LREC 2008»
15 years 8 months ago
Ontology Learning and Semantic Annotation: a Necessary Symbiosis
Semantic annotation of text requires the dynamic merging of linguistically structured information and a "world model", usually represented as a domain-specific ontology....
Emiliano Giovannetti, Simone Marchi, Simonetta Mon...
IADIS
2004
15 years 8 months ago
Think Globally, Act Locally: Promoting Pre-School Learning about other Cultures
In this paper we discuss our experience with the design of a system for supporting learning about other cultures in children attending kindergartens. In the paper we report the mo...
Monica Divitini, Magnus Jenssen, Kristin Skau
EUSFLAT
2001
104views Fuzzy Logic» more  EUSFLAT 2001»
15 years 8 months ago
Iterative learning fuzzy control
In this paper an iterative learning control design method is depicted, leading to a feedforward controller minimizing tracking error of repetitive trajectories. The approach is ex...
Manuel Olivares, Pedro Albertos, Antonio Sala
ACL
1997
15 years 8 months ago
Applying Explanation-based Learning to Control and Speeding-up Natural Language Generation
This paper presents a method for the automatic extraction of subgrammars to control and speeding-up natural language generation NLG. The method is based on explanation-based learn...
Günter Neumann