Applications computational intelligence (Mehr als 4.400 Ergebnisse)

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Paperback. Zustand: Very Good. Sorry, No international shipping on this item.Ex-library paperback in very nice condition with the usual markings and attachments. Except for library markings, interior clean and unmarked. Tight binding.

Sprache: Englisch
Verlag: Springer, 1999
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Sprache: Englisch
Verlag: Springer -, 2019
Serie: Buch 230 von 538 - Studies in Computational Intelligence
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Sprache: Englisch
Verlag: Springer Berlin / Heidelberg, 1999
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Complex Pattern Mining: New Challenges, Methods and Applications: 880 (Studies in Computational Intelligence, 880)
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
Sprache: Englisch
Verlag: Springer 02/n /15 J, 2020
Serie: Buch 381 von 538 - Studies in Computational Intelligence
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Hardcover. Zustand: Very Good. Software Engineering Research, Management and Applications: 845 (Studies in Computational Intelligence, 845) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. …

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Hardcover. Zustand: Bon. Ancien livre de bibliothèque avec équipements. Edition 2005. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 2005. Ammareal gives back up to 15% of this item's net price to charity organizations.…

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Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1000grams, ISBN:9783540628682.

- Softcover
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Paperback. Zustand: Wie neu. X, 326 S.; Ill. Like new. Shrink wrapped. Sprache: Englisch Gewicht in Gramm: 605.

Sprache: Englisch
Verlag: Pearson India, 2014
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N.A. Zustand: New. ISBN:9789332540354.

Sprache: Englisch
Verlag: Springer, 2019
Serie: Buch 350 von 538 - Studies in Computational Intelligence
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Hardcover/Pappeinband. Zustand: Wie neu. 374 pages. Like new. Shrink wrapped. / Wie neu. In Folie verschweißt. Sprache: Englisch Gewicht in Gramm: 999.

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Hardcover. Zustand: Wie neu. 326 S.; Ill. Like new. Shrink wrapped. Sprache: Englisch Gewicht in Gramm: 935.

Sprache: Englisch
Verlag: Springer, 2018
Serie: Buch 179 von 292 - IFIP Advances in Information and Communication Technology
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Quantum Inspired Computational Intelligence: Research and Applications
Bhattacharyya PhD, Siddhartha; Maulik, Ujjwal; Dutta, Paramartha
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Paperback. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

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Hardback. Zustand: Very Good. ?Life on earth is filled with many mysteries, but perhaps the most challenging of these is the nature of Intelligence.? ? Prof. Terrence J. Sejnowski, Computational Neurobiologist The main objective of this book is to create awareness about both the promises and the formidable challenges that the era of Data-Driven Decision-Making and Machine Learning are confronted with, and especially about how these new developments may influence the future of the financial industry. The subject of Financial Machine Learning has attracted a lot of interest recently, specifically because it represents one of the most challenging problem spaces for the applicability of Machine Learning. The author has used a novel approach to introduce the reader to this topic: The first half of the book is a readable and coherent introduction to two modern topics that are not generally considered together: the data-driven paradigm and Computational Intelligence.The second half of the book illustrates a set of Case Studies that are contemporarily relevant to quantitative trading practitioners who are dealing with problems such as trade execution optimization, price dynamics forecast, portfolio management, market making, derivatives valuation, risk, and compliance. The main purpose of this book is pedagogical in nature, and it is specifically aimed at defining an adequate level of engineering and scientific clarity when it comes to the usage of the term ?Artificial Intelligence,? especially as it relates to the financial industry. The message conveyed by this book is one of confidence in the possibilities offered by this new era of Data-Intensive Computation. This message is not grounded on the current hype surrounding the latest technologies, but on a deep analysis of their effectiveness and also on the author?s two decades of professional experience as a technologist, quant and academic.…

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Hardback. Zustand: Very Good. ?Life on earth is filled with many mysteries, but perhaps the most challenging of these is the nature of Intelligence.? ? Prof. Terrence J. Sejnowski, Computational Neurobiologist The main objective of this book is to create awareness about both the promises and the formidable challenges that the era of Data-Driven Decision-Making and Machine Learning are confronted with, and especially about how these new developments may influence the future of the financial industry. The subject of Financial Machine Learning has attracted a lot of interest recently, specifically because it represents one of the most challenging problem spaces for the applicability of Machine Learning. The author has used a novel approach to introduce the reader to this topic: The first half of the book is a readable and coherent introduction to two modern topics that are not generally considered together: the data-driven paradigm and Computational Intelligence.The second half of the book illustrates a set of Case Studies that are contemporarily relevant to quantitative trading practitioners who are dealing with problems such as trade execution optimization, price dynamics forecast, portfolio management, market making, derivatives valuation, risk, and compliance. The main purpose of this book is pedagogical in nature, and it is specifically aimed at defining an adequate level of engineering and scientific clarity when it comes to the usage of the term ?Artificial Intelligence,? especially as it relates to the financial industry. The message conveyed by this book is one of confidence in the possibilities offered by this new era of Data-Intensive Computation. This message is not grounded on the current hype surrounding the latest technologies, but on a deep analysis of their effectiveness and also on the author?s two decades of professional experience as a technologist, quant and academic.…