Job Scheduling Strategies for Parallel Processing, Klus??ek
Автор: Bostrom Nick Название: Superintelligence: Paths, Dangers, Strategies ISBN: 0198739834 ISBN-13(EAN): 9780198739838 Издательство: Oxford Academ Рейтинг: Цена: 1899.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This seminal book injects the topic of superintelligence into the academic and popular mainstream. What happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us? In a tour de force of analytic thinking, Bostrom lays a foundation for understanding the future of humanity and intelligent life.
Автор: J.D. Becker; I. Eisele; F.W. M?ndemann Название: Parallelism, Learning, Evolution ISBN: 3540550275 ISBN-13(EAN): 9783540550273 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume presents the proceedings of two workshops: one on parallel processing, logic, organization and technology, and the other on evolutionary computer strategies. The papers explore a range of questions that are of interest to those involved in parallel processing research.
Описание: This book constitutes revised selected papers from the 17th and 18th International Workshop on Agent-Mediated Electronic Commerce, AMEC TADA 2015 and 2016, which took place in Istanbul, Turkey, in May 2015, and in New York City, USA, in July 2016.
Описание: This volume contains 12 thoroughly refereed and revised papers detailing recent advances in research on designing trading agents and mechanisms for agent-mediated e-commerce. the Workshop on Trading Agent Design and Analysis (TADA 2013), co-located with AAAI 2013 in Bellevue, WA, USA, in July 2013;
Описание: Non-cooperative Bargaining with Arbitrary One-Sided Uncertainty.- An Adaptive Proportional Value-per-Click Agent for Bidding in Ad Auctions.- Improving Prediction in TAC SCM by Integrating Multivariate and Temporal Aspects via PLS Regression.- Agent Adaptation across Non-ideal Markets and Societies.- Testing Adaptive Expectations Models of a Continuous Double Auction Market against Empirical Facts.- Autonomously Revising Knowledge-Based Recommendations through Item and User Information.- A Bidding Agent for Advertisement Auctions: An Overview of the CrocodileAgent 2010.- Dealing with Trust and Reputation in Unreliable Multi-agent Trading Environments.- Analysis of Stable Prices in Non-Decreasing Sponsored Search Auction.- Acceptance Strategies for Maximizing Agent Profits in Online Scheduling.
Описание: Social Networking and Information Diffusion in Automated Markets.- Policy Search through Adaptive Function Approximation for Bidding in TAC SCM.- Designing Robust Strategies for Continuous Trading in Contemporary Power Markets.- JACK: A Java Auction Configuration Kit.- A Decision Framework for Broker Selection in Smart Grids.- Prediction Market-Based Information Aggregation for Multi-sensor Information Processing.- Agent Adaptation across Non-ideal Markets and Societies.- Incentives in Multi-dimensional Auctions under Information Asymmetry for Costs and Qualities.- A Model-Free Approach for a TAC-AA Trading Agent.- Ad Exchange - Proposal for a New Trading Agent Competition Game.- Competing Intermediaries in Online Display Advertising.
Автор: J. Joshua Thomas, Pinar Karagoz, B. Bazeer Ahamed, Название: Deep Learning Techniques and Optimization Strategies in Big Data Analytics ISBN: 1799811921 ISBN-13(EAN): 9781799811923 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 35897.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there's a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.
Автор: J. Joshua Thomas, Pinar Karagoz, B. Bazeer Ahamed, Pandian Vasant Название: Deep Learning Techniques and Optimization Strategies in Big Data Analytics ISBN: 179981193X ISBN-13(EAN): 9781799811930 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 27027.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there's a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.
Автор: Haydn A. Thompson Название: Parallel Processing for Jet Engine Control ISBN: 1447119746 ISBN-13(EAN): 9781447119746 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Parallel Processing Applications for Jet Engine Control is a volume in the new Advances in Industrial Control series, edited by Professor M.J. The problem of applying formal methods to parallel asychronous processors is addressed, implementing novel fault tolerant systems to meet real-time flight control requirements.
Автор: Carretero Название: Algorithms and Architectures for Parallel Processing ISBN: 3319499556 ISBN-13(EAN): 9783319499550 Издательство: Springer Рейтинг: Цена: 9224.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed workshop proceedings of the 16th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2016, held in Granada, Spain, in December 2016. The 30 full papers presented were carefully reviewed and selected from 58 submissions. They cover many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems trying to push beyond the limits of existing technologies, including experimental efforts, innovative systems, and investigations that identify weaknesses in existing parallel processing technology.
Автор: Walfredo Cirne; Narayan Desai Название: Job Scheduling Strategies for Parallel Processing ISBN: 3319157884 ISBN-13(EAN): 9783319157887 Издательство: Springer Рейтинг: Цена: 5590.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 18th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2014, held in Phoenix, AZ, USA, in May 2014. moving to distributed-memory, larger-scale systems, scheduling fairness; and parallel job scheduling.
Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 24th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2021, held as a virtual event in May 2021 (due to the Covid-19 pandemic).The 10 revised full papers presented were carefully reviewed and selected from 17 submissions.
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