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1. |
Record Nr. |
UNISA996418261803316 |
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Autore |
Lan Guanghui |
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Titolo |
First-order and Stochastic Optimization Methods for Machine Learning [[electronic resource] /] / by Guanghui Lan |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XIII, 582 p. 18 illus., 16 illus. in color.) |
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Collana |
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Springer Series in the Data Sciences, , 2365-5674 |
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Disciplina |
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Soggetti |
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Mathematical optimization |
Machine learning |
Optimization |
Machine Learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Machine Learning Models -- Convex Optimization Theory -- Deterministic Convex Optimization -- Stochastic Convex Optimization -- Convex Finite-sum and Distributed Optimization -- Nonconvex Optimization -- Projection-free Methods -- Operator Sliding and Decentralized Optimization. |
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Sommario/riassunto |
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This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms. In spite of the intensive research and development in this area, there does not exist a systematic treatment to introduce the fundamental concepts and recent progresses on machine learning algorithms, especially on those based on stochastic optimization methods, randomized algorithms, nonconvex optimization, distributed and online learning, and projection free methods. This book will benefit the broad audience in the area of machine learning, artificial intelligence and mathematical programming community by presenting these recent developments in a tutorial style, starting from the basic building blocks to the most carefully designed and complicated algorithms for machine learning. |
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2. |
Record Nr. |
UNISA996518460603316 |
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Titolo |
Nature sustainability |
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Pubbl/distr/stampa |
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[London, United Kingdom] : , : Macmillan Publishers Limited, part of Springer Nature, , [2018]- |
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London, UK : , : Springer Nature |
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ISSN |
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Descrizione fisica |
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Disciplina |
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Soggetti |
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Sustainability |
Sustainable Development |
Environmental Policy |
Economic Development |
Conservation of Natural Resources |
sustainable development |
environmental policy |
economic development |
natural resources conservation |
Periodical |
Periodicals. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Periodico |
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Note generali |
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Refereed/Peer-reviewed |
Chief editor: Monica Contestabile. |
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Sommario/riassunto |
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"Nature Sustainability is an online-only monthly journal publishing the best research about sustainability from the natural and social sciences, as well as from the fields of engineering and policy"--About the Journal. |
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