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» Evolution and learning in multiagent systems
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SCL
2011
13 years 4 months ago
Analysis of consensus protocols with bounded measurement errors
This paper analyzes two classes of consensus algorithms in presence of bounded measurement errors. The considered protocols adopt an updating rule based either on constant or vani...
Andrea Garulli, Antonio Giannitrapani
GECCO
2005
Springer
204views Optimization» more  GECCO 2005»
14 years 2 months ago
Modeling systems with internal state using evolino
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
Daan Wierstra, Faustino J. Gomez, Jürgen Schm...
ETFA
2008
IEEE
14 years 3 months ago
Gesture recognition using evolution strategy neural network
A new approach to interact with an industrial robot using hand gestures is presented. System proposed here can learn a first time user’s hand gestures rapidly. This improves pro...
Johan Hägg, Baran Çürükl&uum...
MOBISYS
2010
ACM
13 years 11 months ago
Darwin phones: the evolution of sensing and inference on mobile phones
We present Darwin, an enabling technology for mobile phone sensing that combines collaborative sensing and classification techniques to reason about human behavior and context on ...
Emiliano Miluzzo, Cory Cornelius, Ashwin Ramaswamy...
JCP
2008
114views more  JCP 2008»
13 years 9 months ago
IntelligenTester - Test Sequence Optimization Framework using Multi-Agents
- Our paper focuses on the generation of optimal test sequences and test cases using Intelligent Agents for highly reliable systems. Test sequences support test case generation for...
D. Jeya Mala, V. Mohan