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Titlebook: Machine Learning, Optimization, and Big Data; First International Panos Pardalos,Mario Pavone,Vincenzo Cutello Conference proceedings 2015

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書目名稱Machine Learning, Optimization, and Big Data
副標(biāo)題First International
編輯Panos Pardalos,Mario Pavone,Vincenzo Cutello
視頻videohttp://file.papertrans.cn/621/620733/620733.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Machine Learning, Optimization, and Big Data; First International  Panos Pardalos,Mario Pavone,Vincenzo Cutello Conference proceedings 2015
描述.This bookconstitutes revised selected papers from the First International Workshop onMachine Learning, Optimization, and Big Data, MOD 2015, held in Taormina, Sicily,Italy, in July 2015..The 32papers presented in this volume were carefully reviewed and selected from 73submissions. They deal with the algorithms, methods and theories relevant indata science, optimization and machine learning.?.
出版日期Conference proceedings 2015
關(guān)鍵詞computational optimization; data analytics; global optimization; machine learning; neural networks; appro
版次1
doihttps://doi.org/10.1007/978-3-319-27926-8
isbn_softcover978-3-319-27925-1
isbn_ebook978-3-319-27926-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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Global Optimization with Sparse and Local Gaussian Process Models, .. Our results show that SpLEGO is effective and capable of solving problems with large number of starting points, and it even provides significant advantages when compared with state-of-the-art EI algorithms.
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Condense Mixed Convexity and Optimization with an Application in Data Service Optimization,is matrix for determining convexity and optimization results for mixed variable functions. These tasks are accomplished by building on the definition of a multivariable condense discrete convex function and the corresponding Hessian matrix that are introduced in [.]. In addition, theoretical condens
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ently. ..This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quant978-1-4419-2997-6978-0-387-22764-1Series ISSN 1431-8776 Series E-ISSN 2197-5671
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Giovanni Miglioratiently. ..This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quant978-1-4419-2997-6978-0-387-22764-1Series ISSN 1431-8776 Series E-ISSN 2197-5671
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