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» Learning nonlinear dynamic models
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FDL
2006
IEEE
14 years 4 days ago
Verification-Oriented Behavioral Modeling of Non-Linear Analog
In this work, an approach to the `verification-oriented' modeling of the analog parts' behavior of mixed-signal circuits is presented. Starting from a continuous-time, c...
Martin Freibothe, Jens Doege, Torsten Coym, Stefan...
PPSN
2004
Springer
14 years 1 months ago
Ensemble Learning with Evolutionary Computation: Application to Feature Ranking
Abstract. Exploiting the diversity of hypotheses produced by evolutionary learning, a new ensemble approach for Feature Selection is presented, aggregating the feature rankings ext...
Kees Jong, Elena Marchiori, Michèle Sebag
IAT
2006
IEEE
14 years 2 months ago
Ontology-Based Content Management and Access Framework for Supporting E-Learning Systems
E-Learning is a fast, just-in-time, and non-linear learning process, which is now widely applied in distributed and dynamic environments such as on the World Wide Web. However, it...
Ming Mao, Yefei Peng, Daqing He
TSMC
2010
13 years 3 months ago
Multiobjective Optimization of Temporal Processes
Abstract--This paper presents a dynamic predictiveoptimization framework of a nonlinear temporal process. Datamining (DM) and evolutionary strategy algorithms are integrated in the...
Zhe Song, Andrew Kusiak
JMLR
2008
151views more  JMLR 2008»
13 years 8 months ago
Learning to Combine Motor Primitives Via Greedy Additive Regression
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
Manu Chhabra, Robert A. Jacobs