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GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
15 years 5 months ago
A Bayesian approach to learning classifier systems in uncertain environments
In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
Davide Aliprandi, Alex Mancastroppa, Matteo Matteu...
EMNLP
2008
15 years 3 months ago
Soft-Supervised Learning for Text Classification
We propose a new graph-based semisupervised learning (SSL) algorithm and demonstrate its application to document categorization. Each document is represented by a vertex within a ...
Amarnag Subramanya, Jeff Bilmes
LREC
2008
131views Education» more  LREC 2008»
15 years 3 months ago
Learning Morphology with Morfette
Morfette is a modular, data-driven, probabilistic system which learns to perform joint morphological tagging and lemmatization from morphologically annotated corpora. The system i...
Grzegorz Chrupala, Georgiana Dinu, Josef van Genab...
ECSCW
2003
15 years 3 months ago
Learning and Living in the 'New office'
‘Knowledge sharing’ and ‘learning’ are terms often connected with the ‘New office’, the “modern” open office space. Work in these settings becomes more and more dis...
Eva Bjerrum, Susanne Bødker
ECSCW
2003
15 years 3 months ago
Supporting Collaboration Ubiquitously: An Augmented Learning Environment for Architecture Students
While CSCW research has mostly been focusing on desktop applications there is a growing interest on ubiquitous and tangible computing. We present ethnographic fieldwork and prototy...
Giulio Iacucci, Ina Wagner