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» Learning the required number of agents for complex tasks
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AAAI
2011
12 years 7 months ago
Incorporating Boosted Regression Trees into Ecological Latent Variable Models
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Diet...
BMCBI
2010
160views more  BMCBI 2010»
13 years 2 months ago
eHive: An Artificial Intelligence workflow system for genomic analysis
Background: The Ensembl project produces updates to its comparative genomics resources with each of its several releases per year. During each release cycle approximately two week...
Jessica Severin, Kathryn Beal, Albert J. Vilella, ...
GECCO
2009
Springer
130views Optimization» more  GECCO 2009»
14 years 2 months ago
The impact of jointly evolving robot morphology and control on adaptation rate
Embodied cognition emphasizes that intelligent behavior results from the coupled dynamics between an agent’s body, brain and environment. In response to this, several projects h...
Josh C. Bongard
ICALT
2007
IEEE
14 years 2 months ago
Towards a Canonical View of Peer Assessment
Peer Assessment (or Peer Review) is a popular form of reciprocal assessment where students produce feedback, or grades, for each others work. Peer Assessment activities can be ext...
David E. Millard, Karen Fill, Lester Gilbert, Yvon...
AAAI
2007
13 years 10 months ago
MasDISPO: A Multiagent Decision Support System for Steel Production and Control
In the majority of cases, steel production constitutes the inception of the Supply Chains they are involved just as in automotive clusters or aerospace. Steel manufacturing compan...
Sven Jacobi, Esteban León-Soto, Cristi&aacu...