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

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书目名称Machine Learning, Optimization, and Big Data影响因子(影响力)




书目名称Machine Learning, Optimization, and Big Data影响因子(影响力)学科排名




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书目名称Machine Learning, Optimization, and Big Data网络公开度学科排名




书目名称Machine Learning, Optimization, and Big Data被引频次




书目名称Machine Learning, Optimization, and Big Data被引频次学科排名




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书目名称Machine Learning, Optimization, and Big Data年度引用学科排名




书目名称Machine Learning, Optimization, and Big Data读者反馈




书目名称Machine Learning, Optimization, and Big Data读者反馈学科排名

Mundane

HEDGE

新娘

invade

胰岛素

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.

xanthelasma

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

ABHOR

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

infarct

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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