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ECTEL
2006
Springer
14 years 1 months ago
Rethinking the Use of Ontologies in Learning
Abstract. This paper investigates the use of ontologies in processes of collaborative learning and knowledge generation. The creation and use of ontologies is analysed from an acti...
Heidrun Allert, Hannu Markkanen, Christoph Richter
DOCENG
2004
ACM
14 years 3 months ago
Supervised learning for the legacy document conversion
We consider the problem of document conversion from the renderingoriented HTML markup into a semantic-oriented XML annotation defined by user-specific DTDs or XML Schema descrip...
Boris Chidlovskii, Jérôme Fuselier
COLT
1993
Springer
14 years 2 months ago
Lower Bounds on the Vapnik-Chervonenkis Dimension of Multi-Layer Threshold Networks
We consider the problem of learning in multilayer feed-forward networks of linear threshold units. We show that the Vapnik-Chervonenkis dimension of the class of functions that ca...
Peter L. Bartlett
NN
2000
Springer
177views Neural Networks» more  NN 2000»
13 years 10 months ago
Independent component analysis: algorithms and applications
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
Aapo Hyvärinen, Erkki Oja
NPL
2000
88views more  NPL 2000»
13 years 10 months ago
Learning Synaptic Clusters for Nonlinear Dendritic Processing
Nonlinear dendritic processing appears to be a feature of biological neurons and would also be of use in many applications of artificial neural networks. This paper presents a mod...
Michael W. Spratling, Gillian Hayes