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ESANN
1998
13 years 9 months ago
Lazy learning for control design
This paper presents two local methods for the control of discrete-time unknown nonlinear dynamical systems, when only a limited amount of input-output data is available. The modeli...
Gianluca Bontempi, Mauro Birattari, Hugues Bersini
GECCO
2008
Springer
250views Optimization» more  GECCO 2008»
13 years 9 months ago
Community detection in social networks with genetic algorithms
A new genetic algorithm to detect communities in social networks is presented. The algorithm uses a fitness function able to identify groups of nodes in the network having dense ...
Clara Pizzuti
RTS
2008
74views more  RTS 2008»
13 years 7 months ago
Quantifying and suppressing the measurement disturbance in feedback controlled real-time systems
In the control of continuous and physical systems, the controlled system is sampled sufficiently fast to capture the dynamics of the system. In general, this property cannot be app...
Mehdi Amirijoo, Jörgen Hansson, Svante Gunnar...
CGO
2010
IEEE
13 years 6 months ago
On improving heap memory layout by dynamic pool allocation
Dynamic memory allocation is widely used in modern programs. General-purpose heap allocators often focus more on reducing their run-time overhead and memory space utilization, but...
Zhenjiang Wang, Chenggang Wu, Pen-Chung Yew
IJCNN
2006
IEEE
14 years 2 months ago
Nominal-scale Evolving Connectionist Systems
— A method is presented for extending the Evolving Connectionist System (ECoS) algorithm that allows it to explicitly represent and learn nominal-scale data without the need for ...
Michael J. Watts