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

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書(shū)目名稱Machine Learning, Optimization, and Big Data影響因子(影響力)




書(shū)目名稱Machine Learning, Optimization, and Big Data影響因子(影響力)學(xué)科排名




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書(shū)目名稱Machine Learning, Optimization, and Big Data網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




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書(shū)目名稱Machine Learning, Optimization, and Big Data讀者反饋




書(shū)目名稱Machine Learning, Optimization, and Big Data讀者反饋學(xué)科排名

Mundane

HEDGE

新娘

invade

胰島素

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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