Titlebook: Soft Tissue Tumors; A Practical and Comp Simone Mocellin Book 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license

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Simone Mocellinlligence, data mining, machine learning, computer science, and management sciences will see the pros and cons of a variety of algorithms through detailed examples and a comparison of algorithms..978-3-030-16935-0978-3-030-16936-7Series ISSN 2190-8354 Series E-ISSN 2191-575X

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Simone Mocellinhe core of a computational neuroscience course.Later chapters can be used as a basis for a graduate class and as asource for current research in mathematic978-1-4614-2621-9978-0-387-87708-2Series ISSN 0939-6047 Series E-ISSN 2196-9973

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Simone Mocellinhe core of a computational neuroscience course.Later chapters can be used as a basis for a graduate class and as asource for current research in mathematic978-1-4614-2621-9978-0-387-87708-2Series ISSN 0939-6047 Series E-ISSN 2196-9973

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ure; learning and generalization in relationships to training set size and number of free parameters; and convergence of numerical algorithms.Examines original mathematical disciplines (statistics, numerical mathematics, system theory) as they are specifically relevant to a given problem.Addresses t

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Simone Mocellintensions of the model in three directions: repeated games with signals (imperfect observation of moves), stochastic games where the “Big Match” is studied, and repeated games with incomplete information where we prove the cav(u) theorem of Aumann and Maschler.