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AAAI
2006
13 years 9 months ago
Quantifying the Impact of Learning Algorithm Parameter Tuning
The impact of learning algorithm optimization by means of parameter tuning is studied. To do this, two quality attributes, sensitivity and classification performance, are investig...
Niklas Lavesson, Paul Davidsson
IADIS
2004
13 years 9 months ago
The efficient communications for VPN access of mobile nodes over mobile IPV6
Mobile IPv6 is thought to be dominant protocol for providing mobility. In the near future, most portable communication devices will deploy Mobile IPv6 mechanism. Our main concerns...
Hyungkyu Lee, Jaehoon Nah, Kyoil Jung
AAAI
1994
13 years 9 months ago
Prediction Sharing Across Time and Contexts
Sometimes inferences made at some specific time are valid at other times, too. In model-based diagnosis and monitoring as well as qualitative simulation inferences are often re-do...
Oskar Dressler, Hartmut Freitag
AUTOMATICA
2008
66views more  AUTOMATICA 2008»
13 years 8 months ago
A connection between formation infeasibility and velocity alignment in kinematic multi-agent systems
In this paper, a feedback control strategy that achieves convergence of a multi-agent system to a desired formation configuration is proposed for both the cases of agents with sin...
Dimos V. Dimarogonas, Kostas J. Kyriakopoulos
AROBOTS
2004
127views more  AROBOTS 2004»
13 years 7 months ago
Distributed, Physics-Based Control of Swarms of Vehicles
We introduce a framework, called "physicomimetics," that provides distributed control of large collections of mobile physical agents in sensor networks. The agents sense...
William M. Spears, Diana F. Spears, Jerry C. Haman...