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WSC
2004
15 years 5 months ago
Simulating Growth Dynamics in Complex Adaptive Supply Networks
This paper discusses an extended adaptive supply network simulation model that explicitly captures growth (in terms of change in size over time, and birth and death) based on Utte...
Surya Dev Pathak, David M. Dilts, Gautam Biswas
NIPS
1998
15 years 5 months ago
Controlling the Complexity of HMM Systems by Regularization
This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the E...
Christoph Neukirchen, Gerhard Rigoll
KES
2006
Springer
15 years 4 months ago
Symbiotic Sensor Networks in Complex Underwater Terrains: A Simulation Framework
Abstract. This paper presents a new multi-agent physics-based simulation framework (DISCOVERY), supporting experiments with self-organizing underwater sensor and actuator networks....
Vadim Gerasimov, Gerry Healy, Mikhail Prokopenko, ...
CORR
2000
Springer
134views Education» more  CORR 2000»
15 years 4 months ago
Learning Complexity Dimensions for a Continuous-Time Control System
This paper takes a computational learning theory approach to a problem of linear systems identification. It is assumed that inputs are generated randomly from a known class consist...
Pirkko Kuusela, Daniel Ocone, Eduardo D. Sontag
TNN
2010
173views Management» more  TNN 2010»
14 years 11 months ago
Global synchronization for discrete-time stochastic complex networks with randomly occurred nonlinearities and mixed time delays
Abstract--In this paper, the problem of stochastic synchronization analysis is investigated for a new array of coupled discretetime stochastic complex networks with randomly occurr...
Zidong Wang, Yao Wang, Yurong Liu