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SEMWEB
2005
Springer
15 years 3 months ago
Ontology Learning and Reasoning - Dealing with Uncertainty and Inconsistency
Ontology Learning from text aims at generating domain ontologies from textual resources by applying natural language processing and machine learning techniques. It is inherent in t...
Peter Haase, Johanna Völker
ESANN
2006
14 years 11 months ago
Learning and discrimination through STDP in a top-down modulated associative memory
Abstract. This article underlines the learning and discrimination capabilities of a model of associative memory based on artificial networks of spiking neurons. Inspired from neuro...
Anthony Mouraud, Hélène Paugam-Moisy
EMNLP
2009
14 years 7 months ago
Active Learning by Labeling Features
Methods that learn from prior information about input features such as generalized expectation (GE) have been used to train accurate models with very little effort. In this paper,...
Gregory Druck, Burr Settles, Andrew McCallum
COLT
2006
Springer
15 years 1 months ago
Memory-Limited U-Shaped Learning
U-shaped learning is a learning behaviour in which the learner first learns a given target behaviour, then unlearns it and finally relearns it. Such a behaviour, observed by psych...
Lorenzo Carlucci, John Case, Sanjay Jain, Frank St...
HCI
2007
14 years 11 months ago
Learning Topologies of Situated Public Displays by Observing Implicit User Interactions
In this paper we present a procedure to learn a topological model of Situated Public Displays from data of people traveling between these displays. This model encompasses the dista...
Hans Jörg Müller, Antonio Krüger