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» Optimal Control with Adaptive Internal Dynamics Models
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NN
2007
Springer
162views Neural Networks» more  NN 2007»
13 years 8 months ago
Learning grammatical structure with Echo State Networks
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
BMCBI
2005
178views more  BMCBI 2005»
13 years 8 months ago
A quantization method based on threshold optimization for microarray short time series
Background: Reconstructing regulatory networks from gene expression profiles is a challenging problem of functional genomics. In microarray studies the number of samples is often ...
Barbara Di Camillo, Fatima Sanchez-Cabo, Gianna To...
ATAL
2004
Springer
14 years 2 months ago
Contract Model for Agent Mediated Electronic Commerce
In Agent Mediated Electronic Commerce, autonomy of agents is an important property. On one hand, it has to be favored to make the agents able to determine and adapt their own goal...
Benjamin Gâteau, Djamel Khadraoui, Olivier B...
AIMS
2007
Springer
14 years 3 months ago
Modeling Change Without Breaking Promises
Promise theory defines a method by which static service bindings are made in a network, but little work has been done on handling the dynamic case in which bindings must change ov...
Alva L. Couch, Hengky Susanto, Marc Chiarini
CGF
2008
227views more  CGF 2008»
13 years 9 months ago
Dynamic Sampling and Rendering of Algebraic Point Set Surfaces
Algebraic Point Set Surfaces (APSS) define a smooth surface from a set of points using local moving least-squares (MLS) fitting of algebraic spheres. In this paper we first revisi...
Gaël Guennebaud, Marcel Germann, Markus H. Gr...