First-order and stochastic optimization methods for machine learning

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1. Verfasser: Lan, Guanghui (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Cham, Switzerland Springer [2020]
Schriftenreihe:Springer series in the data sciences
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language English
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record_format marc
series2 Springer series in the data sciences
spelling Lan, Guanghui (DE-588)1186717955 aut
First-order and stochastic optimization methods for machine learning Guanghui Lan
Cham, Switzerland Springer [2020]
© 2020
xiii, 582 Seiten
txt rdacontent
n rdamedia
nc rdacarrier
Springer series in the data sciences
Optimization
Machine Learning
Mathematical optimization
Machine learning
Erscheint auch als Online-Ausgabe 978-3-030-39568-1
spellingShingle Lan, Guanghui
First-order and stochastic optimization methods for machine learning
Optimization
Machine Learning
Mathematical optimization
Machine learning
title First-order and stochastic optimization methods for machine learning
title_auth First-order and stochastic optimization methods for machine learning
title_exact_search First-order and stochastic optimization methods for machine learning
title_exact_search_txtP First-order and stochastic optimization methods for machine learning
title_full First-order and stochastic optimization methods for machine learning Guanghui Lan
title_fullStr First-order and stochastic optimization methods for machine learning Guanghui Lan
title_full_unstemmed First-order and stochastic optimization methods for machine learning Guanghui Lan
title_short First-order and stochastic optimization methods for machine learning
title_sort first order and stochastic optimization methods for machine learning
topic Optimization
Machine Learning
Mathematical optimization
Machine learning
topic_facet Optimization
Machine Learning
Mathematical optimization
Machine learning
work_keys_str_mv AT languanghui firstorderandstochasticoptimizationmethodsformachinelearning