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» The importance of learning in fuzzy systems
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HCW
1999
IEEE
14 years 1 months ago
Multiple Cost Optimization for Task Assignment in Heterogeneous Computing Systems Using Learning Automata
A framework for task assignment in heterogeneous computing systems is presented in this work. The framework is based on a learning automata model. The proposed model can be used f...
Raju D. Venkataramana, N. Ranganathan
SSDBM
1998
IEEE
115views Database» more  SSDBM 1998»
14 years 1 months ago
Tools for Data Warehouse Quality
In this demonstration, we show three interrelated tools intended to improve different aspects of the quality of data warehouse solutions. Firstly, the deductive object manager Con...
Michael Gebhardt, Matthias Jarke, Manfred A. Jeusf...
IJON
2007
184views more  IJON 2007»
13 years 8 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
CDC
2010
IEEE
117views Control Systems» more  CDC 2010»
13 years 3 months ago
A symmetric structure of variational and adjoint systems of stochastic Hamiltonian systems
Abstract-- The authors have extended deterministic portHamiltonian systems into stochastic dynamical systems which are described by stochastic differential equations written in the...
Satoshi Satoh, Kenji Fujimoto
KI
2010
Springer
13 years 7 months ago
CoTeSys - Cognition for Technical Systems
The COTESYS cluster of excellence1 investigates cognition for technical systems such as vehicles, robots, and factories. Cognitive technical systems (CTS) are information processi...
Martin Buss, Michael Beetz