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ICASSP
2011
IEEE
12 years 11 months ago
Adaptive modelling with tunable RBF network using multi-innovation RLS algorithm assisted by swarm intelligence
— In this paper, we propose a new on-line learning algorithm for the non-linear system identification: the swarm intelligence aided multi-innovation recursive least squares (SIM...
Hao Chen, Yu Gong, Xia Hong
ESANN
2006
13 years 9 months ago
Magnification control for batch neural gas
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...
Barbara Hammer, Alexander Hasenfuss, Thomas Villma...
SIGECOM
2011
ACM
259views ECommerce» more  SIGECOM 2011»
12 years 10 months ago
Designing adaptive trading agents
ended abstract summarizes the research presented in Dr. Pardoe’s recently-completed Ph.D. thesis [Pardoe 2011]. The thesis considers how adaptive trading agents can take advantag...
David Pardoe, Peter Stone
ETFA
2008
IEEE
14 years 2 months ago
Using neural networks for quality management
We present a method for fine grain QoS control of multimedia applications. This method takes as input an application software composed of actions. The execution times are unknown...
Mohamad Jaber, Jacques Combaz, Loïc Strus, Je...
ICDM
2008
IEEE
145views Data Mining» more  ICDM 2008»
14 years 2 months ago
Paired Learners for Concept Drift
To cope with concept drift, we paired a stable online learner with a reactive one. A stable learner predicts based on all of its experience, whereas a reactive learner predicts ba...
Stephen H. Bach, Marcus A. Maloof