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146
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ACL
2006
15 years 5 months ago
Modeling Commonality among Related Classes in Relation Extraction
This paper proposes a novel hierarchical learning strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For e...
Guodong Zhou, Jian Su, Min Zhang
145
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ESANN
2004
15 years 5 months ago
Neural dynamics for task-oriented grouping of communicating agents
Abstract. Many real world problems are given in the form of multiple measurements comprising local descriptions or tasks. We propose that a dynamical organization of a population o...
Jochen J. Steil
120
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FLAIRS
2004
15 years 5 months ago
Case-Based Bayesian Network Classifiers
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Eugene Santos, Ahmed Huessin
127
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ECIR
2006
Springer
15 years 5 months ago
Automatic Document Organization in a P2P Environment
Abstract. This paper describes an efficient method to construct reliable machine learning applications in peer-to-peer (P2P) networks by building ensemble based meta methods. We co...
Stefan Siersdorfer, Sergej Sizov
132
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ICAD
2004
15 years 5 months ago
Reeds: A Responsive Sound Installation
This paper discusses the responsive sound installation Reeds. The Melbourne International Festival of the Arts commissioned the Reeds project in 2000, for exhibition on the Orname...
Garth Paine