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» Learning from Collective Behavior
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EVI
2010
94views more  EVI 2010»
13 years 2 months ago
Collective neuro-evolution for evolving specialized sensor resolutions in a multi-rover task
This article presents results from an evaluation of the collective neuro-evolution (CONE) controller design method. CONE solves collective behavior tasks, and increases task perfor...
Geoff S. Nitschke, Martijn C. Schut, A. E. Eiben
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
11 years 10 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
AGENTS
2001
Springer
14 years 5 days ago
Using rat navigation models to learn orientation from visual input on a mobile robot
Rodents possess extraordinary navigation abilities that are far in excess of what current state-of-the-art robot agents are capable of. This paper describes research that is part ...
Brett Browning
IJRR
2007
186views more  IJRR 2007»
13 years 7 months ago
Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...
Lin Liao, Dieter Fox, Henry A. Kautz
ECMDAFA
2007
Springer
100views Hardware» more  ECMDAFA 2007»
14 years 1 months ago
Reverse Engineering Models from Traces to Validate Distributed Systems - An Industrial Case Study
The paper targets the applicability of model-driven methodologies to the validation of complex systems and presents a case study of a mobile radio network. Validation relies on the...
Andreas Ulrich, Alexandre Petrenko