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CEC
2009
IEEE
15 years 11 months ago
Grammar-based genetic programming for timetabling
Abstract— We present a grammar-based genetic programming framework for the solving the timetabling problem via the evolution of constructive heuristics. The grammar used for prod...
Mohamed Bahy El Bader-El-Den, Riccardo Poli
ESANN
2008
15 years 8 months ago
Generalized matrix learning vector quantizer for the analysis of spectral data
The analysis of spectral data constitutes new challenges for machine learning algorithms due to the functional nature of the data. Special attention is paid to the metric used in t...
Petra Schneider, Frank-Michael Schleif, Thomas Vil...
NIPS
2008
15 years 8 months ago
Learning Hybrid Models for Image Annotation with Partially Labeled Data
Extensive labeled data for image annotation systems, which learn to assign class labels to image regions, is difficult to obtain. We explore a hybrid model framework for utilizing...
Xuming He, Richard S. Zemel
ESANN
2006
15 years 8 months ago
Spatial filters for the classification of event-related potentials
Spatial filtering is a widely used dimension reduction method in electroencephalogram based brain-computer interface systems. In this paper a new algorithm is proposed, which learn...
Ulrich Hoffmann, Jean-Marc Vesin, Touradj Ebrahimi
EACL
2003
ACL Anthology
15 years 8 months ago
Learning Translations of Named-Entity Phrases from Parallel Corpora
We develop a new approach to learning phrase translations from parallel corpora, and show that it performs with very high coverage and accuracy in choosing French translations of ...
Robert C. Moore