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Titlebook: Machine Learning, Optimization, and Big Data; Third International Giuseppe Nicosia,Panos Pardalos,Renato Umeton Conference proceedings 201

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楼主: detumescence
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0302-9743 s cover topics in the field of machine learning, artificial intelligence, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications..978-3-319-72925-1978-3-319-72926-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Michael Cohen genes affecting quantitative or meristic traits in plants, animals and humans that have been published recently. ..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 quant
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Tome Eftimov,Peter Korošec,Barbara Koroušić Seljak genes affecting quantitative or meristic traits in plants, animals and humans that have been published recently. ..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 quant
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Angelo Lucia,Edward Thomas,Peter A. DiMaggio genes affecting quantitative or meristic traits in plants, animals and humans that have been published recently. ..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 quant
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S. P. Sidorov,S. V. Mironov,M. G. Pleshakov genes affecting quantitative or meristic traits in plants, animals and humans that have been published recently. ..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 quant
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Danny D’Agostino,Andrea Serani,Emilio F. Campana,Matteo Diez genes affecting quantitative or meristic traits in plants, animals and humans that have been published recently. ..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 quant
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Manousos Rigakis,Dimitra Trachanatzi,Magdalene Marinaki,Yannis Marinakis genes affecting quantitative or meristic traits in plants, animals and humans that have been published recently. ..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 quant
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Mauro Dell’Amico,Natalia Selini Hadjidimitriou,Thorsten Koch,Milena Petkovic genes affecting quantitative or meristic traits in plants, animals and humans that have been published recently. ..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 quant
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