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INFFUS
2008
97views more  INFFUS 2008»
15 years 6 months ago
Using classifier ensembles to label spatially disjoint data
act 11 We describe an ensemble approach to learning from arbitrarily partitioned data. The partitioning comes from the distributed process12 ing requirements of a large scale simul...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
COGSCI
2007
99views more  COGSCI 2007»
15 years 6 months ago
Language Evolution by Iterated Learning With Bayesian Agents
Languages are transmitted from person to person and generation to generation via a process of iterated learning: people learn a language from other people who once learned that la...
Thomas L. Griffiths, Michael L. Kalish
COMCOM
2007
82views more  COMCOM 2007»
15 years 6 months ago
Jumping ant routing algorithm for sensor networks
Enterprises that may rely on critical equipments which are constantly moving around, for example, hospitals – need to ensure they can know the current location of vital but mobi...
Wei-Ming Chen, Chung-Sheng Li, Fu-Yu Chiang, Han-C...
IJDAR
2006
131views more  IJDAR 2006»
15 years 6 months ago
Genetic engineering of hierarchical fuzzy regional representations for handwritten character recognition
This paper presents a genetic programming based approach for optimizing the feature extraction step of a handwritten character recognizer. This recognizer uses a simple multilayer ...
Christian Gagné, Marc Parizeau
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IJHIS
2006
94views more  IJHIS 2006»
15 years 6 months ago
A new fine-grained evolutionary algorithm based on cellular learning automata
In this paper, a new evolutionary computing model, called CLA-EC, is proposed. This model is a combination of a model called cellular learning automata (CLA) and the evolutionary ...
Reza Rastegar, Mohammad Reza Meybodi, Arash Hariri
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