Titlebook: Machine Learning, Optimization, and Data Science; 9th International Co Giuseppe Nicosia,Varun Ojha,Renato Umeton Conference proceedings 202

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Giacomo Boldini,Alessio Diana,Vincenzo Arceri,Vincenzo Bonnici,Roberto Bagnaraed in book form, and some entirely new results. It should be useful to the professional probabilist or mathematical statistician, and of interest also to gradua978-3-662-02514-7Series ISSN 0072-7830 Series E-ISSN 2196-9701

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,Solving Continuous Optimization Problems with?a?New Hyperheuristic Framework,

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Johannes Varga,Emil Karlsson,Günther R. Raidl,Elina R?nnberg,Fredrik Lindsten,Tobias Rodemannes and semimartingales, random measures stochastic integrales, Skorokhod topology, etc., as well asa large number of results which have never appeared in book form, and some entirely new results. The second edition contains some additions to the text and references. Some parts are completely rewritt

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Sahib Julka,Michael Granitzerics: theory of martingales and stochastic integrales, Skorokhod topology, etc., as well as a large number of results which have never appeared in book form, and some entirely new results. It should be useful to the professional probabilist or mathematical statistician, and of interest also to gradua

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Abhijeet Pendyala,Justin Dettmer,Tobias Glasmachers,Asma Atamnaation of random sets, statisticaltests, polygonal approximations of compacts, limittheoremsfor pointwise maxima of random functions are considered.Several open problems are mentioned.Addressed primarily to researchers in the theory of randomsets, stochastic geometry and extreme value theory, the boo

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ation of random sets, statisticaltests, polygonal approximations of compacts, limittheoremsfor pointwise maxima of random functions are considered.Several open problems are mentioned.Addressed primarily to researchers in the theory of randomsets, stochastic geometry and extreme value theory, the boo

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