An Introduction to Sequential Monte Carlo, Chopin Nicolas, Papaspiliopoulos Omiros
Автор: Eisner, Will Название: Comics and sequential art ISBN: 0393331261 ISBN-13(EAN): 9780393331264 Издательство: Wiley Рейтинг: Цена: 3008.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "Comics and Sequential Art is a masterwork, the distillation of Will Eisner`s genius to a clear and potent elixir."-Michael Chabon, Pulitzer Prize-winning author of The Amazing Adventures of Kavalier & Clay.
Автор: Chopin Nicolas, Papaspiliopoulos Omiros Название: An Introduction to Sequential Monte Carlo ISBN: 3030478440 ISBN-13(EAN): 9783030478445 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a general introduction to Sequential Monte Carlo (SMC) methods, also known as particle filters. Bayesian inference or rare-event problems), are also discussed. The book may be used either as a graduate text on Sequential Monte Carlo methods and state-space modeling, or as a general reference work on the area.
Автор: Speight J Martin Название: Sequential Introduction To Real Analysis, A ISBN: 1783267836 ISBN-13(EAN): 9781783267835 Издательство: World Scientific Publishing Рейтинг: Цена: 5069.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Real analysis provides the fundamental underpinnings for calculus, arguably the most useful and influential mathematical idea ever invented.
Автор: Speight J Martin Название: Sequential Introduction To Real Analysis, A ISBN: 1783267828 ISBN-13(EAN): 9781783267828 Издательство: World Scientific Publishing Рейтинг: Цена: 9821.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Real analysis provides the fundamental underpinnings for calculus, arguably the most useful and influential mathematical idea ever invented.
Автор: Jean-Marc Adamo Название: Data Mining for Association Rules and Sequential Patterns ISBN: 1461265118 ISBN-13(EAN): 9781461265115 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data mining includes a wide range of activities such as classification, clustering, similarity analysis, summarization, association rule and sequential pattern discovery, and so forth. The book focuses on the last two previously listed activities. It provides a unified presentation of algorithms for association rule and sequential pattern discovery. For both mining problems, the presentation relies on the lattice structure of the search space. All algorithms are built as processes running on this structure. Proving their properties takes advantage of the mathematical properties of the structure. Part of the motivation for writing this book was postgraduate teaching. One of the main intentions was to make the book a suitable support for the clear exposition of problems and algorithms as well as a sound base for further discussion and investigation. Since the book only assumes elementary mathematical knowledge in the domains of lattices, combinatorial optimization, probability calculus, and statistics, it is fit for use by undergraduate students as well. The algorithms are described in a C-like pseudo programming language. The computations are shown in great detail. This makes the book also fit for use by implementers: computer scientists in many domains as well as industry engineers.
Автор: Elad Liebman Название: Sequential Decision-Making in Musical Intelligence ISBN: 303030518X ISBN-13(EAN): 9783030305185 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Over the past 60 years, artificial intelligence has grown from an academic field of research to a ubiquitous array of tools used in everyday technology. Despite its many recent successes, certain meaningful facets of computational intelligence have yet to be thoroughly explored, such as a wide array of complex mental tasks that humans carry out easily, yet are difficult for computers to mimic. A prime example of a domain in which human intelligence thrives, but machine understanding is still fairly limited, is music.
Over recent decades, many researchers have used computational tools to perform tasks like genre identification, music summarization, music database querying, and melodic segmentation. While these are all useful algorithmic solutions, we are still a long way from constructing complete music agents able to mimic (at least partially) the complexity with which humans approach music.
One key aspect that hasn't been sufficiently studied is that of sequential decision-making in musical intelligence. Addressing this gap, the book focuses on two aspects of musical intelligence: music recommendation and multi-agent interaction in the context of music. Though motivated primarily by music-related tasks, and focusing largely on people's musical preferences, the work presented in this book also establishes that insights from music-specific case studies can also be applicable in other concrete social domains, such as content recommendation.
Showing the generality of insights from musical data in other contexts provides evidence for the utility of music domains as testbeds for the development of general artificial intelligence techniques.
Ultimately, this thesis demonstrates the overall value of taking a sequential decision-making approach in settings previously unexplored from this perspective.
Описание: This undergraduate textbook is a concise introduction to the basic toolbox of structures that allow efficient organization and retrieval of data, key algorithms for problems on graphs, and generic techniques for modeling, understanding, and solving algorithmic problems.
Автор: Rubinstein Reuven Y Название: Fast Sequential Monte Carlo Methods for Counting and Optimiz ISBN: 1118612264 ISBN-13(EAN): 9781118612262 Издательство: Wiley Рейтинг: Цена: 16307.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the first comprehensive account of fast sequential Monte Carlo (SMC) methods for counting and optimization at an exceptionally accessible level. Written by authorities in the field, it places great emphasis on cross-entropy, minimum cross-entropy, splitting, and stochastic enumeration.
Автор: Naesseth, Christian A. Lindsten, Fredrik Schoen, Thomas B. Название: Elements of sequential monte carlo ISBN: 1680836323 ISBN-13(EAN): 9781680836325 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 12197.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Sequential Monte Carlo is a technique for solving statistical inference problems recursively. This book shows how this powerful technique can be applied to machine learning problems such as probabilistic programming, variational inference and inference evaluation.
Автор: Arnaud Doucet; A. Smith; Nando de Freitas; Neil Go Название: Sequential Monte Carlo Methods in Practice ISBN: 1441928871 ISBN-13(EAN): 9781441928870 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Monte Carlo methods are revolutionizing the on-line analysis of data in many fileds. They have made it possible to solve numerically many complex, non-standard problems that were previously intractable. This book presents the first comprehensive treatment of these techniques.
Автор: Naresh Maheshwari; S. Sapatnekar Название: Timing Analysis and Optimization of Sequential Circuits ISBN: 1461375797 ISBN-13(EAN): 9781461375791 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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