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ICANN
2009
Springer
16 years 1 months ago
Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction
Abstract. In this paper, we investigate the application of adaptive ensemble models of Extreme Learning Machines (ELMs) to the problem of one-step ahead prediction in (non)stationa...
Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutil...
ICONIP
2009
15 years 4 months ago
Data Modelling for Analysis of Adaptive Changes in Fly Photoreceptors
Adaptation is a hallmark of sensory processing. We studied neural adaptation in intracellular voltage responses of the R1-R6 photoreceptors, of the fruit fly Drosophila, subjected ...
Uwe Friederich, Daniel Coca, Stephen A. Billings, ...
AINA
2007
IEEE
16 years 1 months ago
A Utility-Based Adaptivity Model for Mobile Applications
Mobile environments are characterized by resource fluctuations and limitations, and variations in user preferences. Therefore mobile applications need to be adaptive to retain us...
Mourad Alia, Viktor S. Wold Eide, Nearchos Paspall...
ICONIP
2010
15 years 5 months ago
Learning Basis Representations of Inverse Dynamics Models for Real-Time Adaptive Control
Abstract. In this paper, we propose a novel approach for adaptive control of robotic manipulators. Our approach uses a representation of inverse dynamics models learned from a vari...
Yasuhito Horiguchi, Takamitsu Matsubara, Masatsugu...
154
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IJCAT
2008
69views more  IJCAT 2008»
15 years 6 months ago
A knowledge hierarchy model for adaptive multi-agent systems
: Adaptivity in software is important since business processes, business rules and business terms constantly evolve. A radical solution is described that makes use of the inherent ...
Liang Xiao 0002, Des Greer