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» Learning Models of Macrobehavior in Complex Adaptive Systems
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NEUROSCIENCE
2001
Springer
15 years 2 months ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar
KES
2006
Springer
14 years 10 months ago
Intelligent Environment for Training of Power Systems Operators
Training of operators has become an important problem to be faced by power systems: updating knowledge and skills. An operator must comprehend the physical operation of the process...
Gustavo Arroyo-Figueroa, Yasmín Herná...
ECTEL
2007
Springer
15 years 4 months ago
Creation of Lithuanian Digital Library of Educational Resources and Services: the Hypothesis, Contemporary Practice, and Future
Currently national digital library of educational resources and services (DLE) for primary and secondary education is under implementation in Lithuania. The article aims to analyse...
Eugenijus Kurilovas, Svetlana Kubilinskiene
BMCBI
2010
109views more  BMCBI 2010»
14 years 10 months ago
Prediction of the binding affinities of peptides to class II MHC using a regularized thermodynamic model
Background: The binding of peptide fragments of extracellular peptides to class II MHC is a crucial event in the adaptive immune response. Each MHC allotype generally binds a dist...
Andrew J. Bordner, Hans D. Mittelmann
ESSMAC
2003
Springer
15 years 3 months ago
Nonlinear Predictive Control with a Gaussian Process Model
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Jus Kocijan, Roderick Murray-Smith