hao ding (34 Ergebnisse)

Zustand: New. Idioma/Language: Español. La antología que presentamos incluye cuentos ambientados en la China feudal. En estos cuentos se describen situaciones fantásticas, hechos insólitos sobre hadas, zorros, fantasmas o duendes. Los autores de esta antología son: Xuan Ding, Pu Songling, Ma Zhongxi, Chen Ding, Cai Yum Hao Gezi, He Bang er, Shen Qifeng *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.

XVI, 222 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. ICSA Book Series in Statistics. Sprache: Englisch.

n.d. [ca. 2000], original boards, 42 pp., minimal traces of use, good copy.

SOFTCOVER. Zustand: Fine. 1st Edition. Large 4to. in illustrated stiff card covers, 47pp on thick glossy art paper, colour plates, etc . [CONDITION: A well preserved near FINE clean and tight copy (bottom corner tip of rear cover clipped, few spots of rub to cover edges and corner tips) ] . . . We always ship in STRONG PROTECTIVE CARD PARCELS.

Gebunden. Zustand: New.

Zustand: New.

Taschenbuch. Zustand: Neu. Advanced Statistical Methods in Data Science | Ding-Geng Chen (u. a.) | Taschenbuch | xvi | Englisch | 2018 | Springer | EAN 9789811096624 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Zustand: Brand New. reprint edition. 222 pages. 9.25x6.10x0.55 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware -This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to allow researchers to exchange ideas on statistics and data science and to embraces the challenges and opportunities of statistics and data science in the modern world. It addresses diverse themes in advanced statistical analysis in big-data sciences, including methods for administrative data analysis, survival data analysis, missing data analysis, high-dimensional and genetic data analysis, longitudinal and functional data analysis, the design and analysis of studies with response-dependent and multi-phase designs, time series and robust statistics, statistical inference based on likelihood, empirical likelihood and estimating functions. The editorial group selected 14 high-quality presentations from this successful symposium and invitedthe presenters to prepare a full chapter for this book in order to disseminate the findings and promote further research collaborations in this area. This timely book offers new methods that impact advanced statistical model development in big-data sciences.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 240 pp. Englisch.

Buch. Zustand: Neu. Neuware -This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to allow researchers to exchange ideas on statistics and data science and to embraces the challenges and opportunities of statistics and data science in the modern world. It addresses diverse themes in advanced statistical analysis in big-data sciences, including methods for administrative data analysis, survival data analysis, missing data analysis, high-dimensional and genetic data analysis, longitudinal and functional data analysis, the design and analysis of studies with response-dependent and multi-phase designs, time series and robust statistics, statistical inference based on likelihood, empirical likelihood and estimating functions. The editorial group selected 14 high-quality presentations from this successful symposium and invitedthe presenters to prepare a full chapter for this book in order to disseminate the findings and promote further research collaborations in this area. This timely book offers new methods that impact advanced statistical model development in big-data sciences.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 240 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to allow researchers to exchange ideas on statistics and data science and to embraces the challenges and opportunities of statistics and data science in the modern world. It addresses diverse themes in advanced statistical analysis in big-data sciences, including methods for administrative data analysis, survival data analysis, missing data analysis, high-dimensional and genetic data analysis, longitudinal and functional data analysis, the design and analysis of studies with response-dependent and multi-phase designs, time series and robust statistics, statistical inference based on likelihood, empirical likelihood and estimating functions. The editorial group selected 14 high-quality presentations from this successful symposium and invitedthe presenters to prepare a full chapter for this book in order to disseminate the findings and promote further research collaborations in this area. This timely book offers new methods that impact advanced statistical model development in big-data sciences.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to allow researchers to exchange ideas on statistics and data science and to embraces the challenges and opportunities of statistics and data science in the modern world. It addresses diverse themes in advanced statistical analysis in big-data sciences, including methods for administrative data analysis, survival data analysis, missing data analysis, high-dimensional and genetic data analysis, longitudinal and functional data analysis, the design and analysis of studies with response-dependent and multi-phase designs, time series and robust statistics, statistical inference based on likelihood, empirical likelihood and estimating functions. The editorial group selected 14 high-quality presentations from this successful symposium and invitedthe presenters to prepare a full chapter for this book in order to disseminate the findings and promote further research collaborations in this area. This timely book offers new methods that impact advanced statistical model development in big-data sciences.

Paperback. Zustand: Brand New. reprint edition. 222 pages. 9.25x6.10x0.55 inches. In Stock.

Paperback. Zustand: Brand New. 541 pages. 9.25x6.10x9.05 inches. In Stock.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 544 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: New.

Taschenbuch. Zustand: Neu. Deep Reinforcement Learning | Fundamentals, Research and Applications | Hao Dong (u. a.) | Taschenbuch | xxvii | Englisch | 2021 | Springer Singapore | EAN 9789811540974 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Zustand: Brand New. reprint edition. 484 pages. 9.25x6.10x0.98 inches. In Stock.

Hardcover. Zustand: Brand New. 481 pages. 9.25x6.10x1.38 inches. In Stock.

Paperback. Zustand: Brand New. 2nd edition. 350 pages. In Stock.

Taschenbuch. Zustand: Neu. Neuware -Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. It has been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine, and famously contributed to the success of AlphaGo. Furthermore, it opens up numerous new applications in domains such as healthcare, robotics, smart grids and finance.Divided into three main parts, this book provides a comprehensive and self-contained introduction to DRL. The first part introduces the foundations of deep learning, reinforcement learning (RL) and widely used deep RL methods and discusses their implementation. The second part covers selected DRL research topics, which are useful for those wanting to specialize in DRL research. To help readers gain a deep understanding of DRL and quickly apply the techniques in practice, the third part presents mass applications, such as the intelligent transportation system and learning to run, with detailedexplanations.The book is intended for computer science students, both undergraduate and postgraduate, who would like to learn DRL from scratch, practice its implementation, and explore the research topics. It also appeals to engineers and practitioners who do not have strong machine learning background, but want to quickly understand how DRL works and use the techniques in their applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 544 pp. Englisch.

Buch. Zustand: Neu. Neuware -Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. It has been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine, and famously contributed to the success of AlphaGo. Furthermore, it opens up numerous new applications in domains such as healthcare, robotics, smart grids and finance.Divided into three main parts, this book provides a comprehensive and self-contained introduction to DRL. The first part introduces the foundations of deep learning, reinforcement learning (RL) and widely used deep RL methods and discusses their implementation. The second part covers selected DRL research topics, which are useful for those wanting to specialize in DRL research. To help readers gain a deep understanding of DRL and quickly apply the techniques in practice, the third part presents mass applications, such as the intelligent transportation system and learning to run, with detailedexplanations.The book is intended for computer science students, both undergraduate and postgraduate, who would like to learn DRL from scratch, practice its implementation, and explore the research topics. It also appeals to engineers and practitioners who do not have strong machine learning background, but want to quickly understand how DRL works and use the techniques in their applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 544 pp. Englisch.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. It has been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine, and famously contributed to the success of AlphaGo. Furthermore, it opens up numerous new applications in domains such as healthcare, robotics, smart grids and finance.Divided into three main parts, this book provides a comprehensive and self-contained introduction to DRL. The first part introduces the foundations of deep learning, reinforcement learning (RL) and widely used deep RL methods and discusses their implementation. The second part covers selected DRL research topics, which are useful for those wanting to specialize in DRL research. To help readers gain a deep understanding of DRL and quickly apply the techniques in practice, the third part presents mass applications, such as the intelligent transportation system and learning to run, with detailedexplanations.The book is intended for computer science students, both undergraduate and postgraduate, who would like to learn DRL from scratch, practice its implementation, and explore the research topics. It also appeals to engineers and practitioners who do not have strong machine learning background, but want to quickly understand how DRL works and use the techniques in their applications.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. It has been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine, and famously contributed to the success of AlphaGo. Furthermore, it opens up numerous new applications in domains such as healthcare, robotics, smart grids and finance.Divided into three main parts, this book provides a comprehensive and self-contained introduction to DRL. The first part introduces the foundations of deep learning, reinforcement learning (RL) and widely used deep RL methods and discusses their implementation. The second part covers selected DRL research topics, which are useful for those wanting to specialize in DRL research. To help readers gain a deep understanding of DRL and quickly apply the techniques in practice, the third part presents mass applications, such as the intelligent transportation system and learning to run, with detailedexplanations.The book is intended for computer science students, both undergraduate and postgraduate, who would like to learn DRL from scratch, practice its implementation, and explore the research topics. It also appeals to engineers and practitioners who do not have strong machine learning background, but want to quickly understand how DRL works and use the techniques in their applications.

Hardcover. Zustand: Brand New. 514 pages. 9.25x6.10x1.10 inches. In Stock.

Zustand: New.

Buch. Zustand: Neu. Neuware -This book conducts research on the overall design of the submerged floating tunnel, structural safety standards, environmental load calculation methods, pipe structure selection, joint structure form, anchoring mode, collision avoidance technology, operation ventilation and disaster prevention, etc., and proposes a preliminary engineering technical plan for the submerged floating tunnel in Qiongzhou Strait.It focuses on the domestic and foreign research status of submerged floating tunnels, model experiment theory and method, experimental system, model design, experimental process, experimental results analysis, and other unique achievements and thoughts. This book is suitable for tunnel engineering scientists, tunnel engineering designers, civil engineers, traffic planning designers, civil engineering students, and teachers. Because submerged floating tunnel is a kind of tunnel structure full of innovation and challenge, research results on suspended tunnels are relatively rare. This book includes the design scheme of submerged floating tunnel, model experiment theory, experimental system, analysis of experimental results, etc., which can provide ideas for the current design of submerged floating tunnel, and also provides useful reference for scholars engaged in the research of basic theory and key technology of submerged floating tunnel and related fields.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 292 pp. Englisch.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book conducts research on the overall design of the submerged floating tunnel, structural safety standards, environmental load calculation methods, pipe structure selection, joint structure form, anchoring mode, collision avoidance technology, operation ventilation and disaster prevention, etc., and proposes a preliminary engineering technical plan for the submerged floating tunnel in Qiongzhou Strait.It focuses on the domestic and foreign research status of submerged floating tunnels, model experiment theory and method, experimental system, model design, experimental process, experimental results analysis, and other unique achievements and thoughts. This book is suitable for tunnel engineering scientists, tunnel engineering designers, civil engineers, traffic planning designers, civil engineering students, and teachers. Because submerged floating tunnel is a kind of tunnel structure full of innovation and challenge, research results on suspended tunnels are relatively rare. This book includes the design scheme of submerged floating tunnel, model experiment theory, experimental system, analysis of experimental results, etc., which can provide ideas for the current design of submerged floating tunnel, and also provides useful reference for scholars engaged in the research of basic theory and key technology of submerged floating tunnel and related fields.

Hardcover. Zustand: Brand New. 300 pages. 9.25x6.10x9.49 inches. In Stock.

Buch. Zustand: Neu. Neuware - This book is a comprehensive collection of research papers that focus on enhancing resilience, intelligence, and sustainability in tunnel engineering. It presents cutting-edge design theories, innovative construction techniques, intelligent operation and maintenance methods, sustainable development strategies and engineering application practices of tunnel and underground engineering.