A Java Framework for (Online) Algorithm Selection With Use Case on the Generalized Assignment Problem Hans Degroote1, José Luis González Velarde² and Patrick De Causmaecker1 1KU Leuven Department of Computer Science -

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WISP 2007 SPECIAL ISSUE OF IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 1 A Feature Selection Algorithm for the Regularization of Neuron Models

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Online Algorithm Selection Hans Degroote1, Bernd Bischl2, Lars Kotthoff3 and Patrick De Causmaecker1 1KU Leuven, Department of Computer Science - CODeS & imec-ITEC 2Department of Statistics, LMU Munich

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GPS Receiver Satellite/Antenna Selection Algorithm for the Stanford Gravity Probe B Relativity Mission

Source URL: einstein.stanford.edu

BOOKS ET AL. cesses of inheritance, mutation, recombination, and selection: the genetic algorithm. He has also written extensively about cognitive science, the brain as a complex system, and adaptation in general (1). In

Source URL: adamilab.msu.edu

Open Algorithm Selection Challenge Lars Kotthoff Marius Lindauer Jan N. v. Rijn COSEAL Workshop 2017, Brussels

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Algorithm Selection for Preferred Extensions Enumeration Federico CERUTTI a,1 , Massimiliano GIACOMIN b and Mauro VALLATI c of Computing Science, King’s College, University of Aberdeen, UK b Department of Information E

Source URL: comma2014.arg.dundee.ac.uk

An ILP based Algorithm for Optimal Customer Selection for Demand Response in SmartGrids Sanmukh R. Kuppannagari Rajgopal Kannan

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Experimental Assessment of a Threshold Selection Algorithm for Tuning Classifiers in the Field of Hierarchical Text Categorization Andrea Addis, Giuliano Armano, and Eloisa Vargiu Department of Electrical and Electronic

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Air pollution prediction via multi-label classification Giorgio Corani and Mauro Scanagatta Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA) Scuola universitaria professionale della Svizzera italiana

Source URL: ipg.idsia.ch

• Statistics
• Statistical classification
• Multivariate statistics
• Naive Bayes classifier
• Bayesian network
• Feature selection
• Bayes classifier
• Dependent and independent variables
• Machine learning
• Supervised learning
• K-nearest neighbors algorithm