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Advances in Kernel Methods: Support Vector Learning
Anbieter: ThriftBooks-Dallas, Dallas, TX, USA
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
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Kernel Methods in Computational Biology
Anbieter: Better World Books: West, Reno, NV, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Kernel Methods in Computational Biology
Anbieter: ThriftBooks-Atlanta, AUSTELL, GA, USA
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Kernel Methods in Computational Biology
Anbieter: ThriftBooks-Dallas, Dallas, TX, USA
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Kernel Methods in Computational Biology
Anbieter: ThriftBooks-Atlanta, AUSTELL, GA, USA
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Kernel Methods in Computational Biology (Computational Molecular Biology)
Anbieter: Sell Books, Elland, YORKS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 6,91
EUR 14,06 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
In den Warenkorbhardcover. Zustand: Very Good. Most of our very good books have only minor imperfections such as shelf wear consistent with a new book that's sat on a bookshop shelf for a year or two. Occasionally we may miss other minor imperfections as we have to grade books at speed. Our books are dispatched from a Yorkshire former cotton mill. We list via barcode/ISBN so please note that the images are stock images and may not be the exact copy you receive, furthermore the details about edition and year might not be accurate as many publishers reuse the same ISBN for multiple editions and as we simply scan a barcode or enter an ISBN we do not check the validity of the edition data when listing. If you're looking for an exact edition please don't order (at least not without checking with us first, although we don't always have time to check). We aim to dispatch prompty, the service used will depend on order value and book size. We can ship to most countries, see our shipping policies. Payment is via Abe only.
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Hardcover. Zustand: Bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Jaquette abîmée. Edition 2004. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Slight signs of wear on the cover. Damaged dust jacket. Edition 2004. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series)
Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Advances in Large-Margin Classifiers (Neural Information Processing)
Anbieter: Phatpocket Limited, Waltham Abbey, HERTS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 23,84
EUR 12,32 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
In den WarenkorbZustand: Good. No dust wrapper. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Advances in Kernel Methods: Support Vector Learning
Anbieter: Phatpocket Limited, Waltham Abbey, HERTS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 45,53
EUR 12,32 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
In den WarenkorbZustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series)
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
EUR 53,01
EUR 7,52 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
In den WarenkorbZustand: New.
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Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 50,26
EUR 13,87 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
In den WarenkorbZustand: New. In.
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Elements of Causal Inference Foundations and Learning Algorithms
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 51,27
EUR 14,47 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 288 pages. 9.00x7.00x1.00 inches. In Stock.
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Handbook of Statistical Bioinformatics
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 54,47
EUR 13,87 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In English.
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Pattern Recognition: 26th DAGM Symposium, August 30 - September 1, 2004, Proceedings (Lecture Notes in Computer Science, 3175)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 60,57
EUR 13,87 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
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Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 60,57
EUR 13,87 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
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Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 60,57
EUR 13,87 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
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Elements of Causal Inference: Foundations and Learning Algorithms
Anbieter: Kennys Bookstore, Olney, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. 2018. Hardcover. . . . . . Books ship from the US and Ireland.
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Kernel Methods in Computational Biology (Computational Molecular Biology)
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 69,49
EUR 14,47 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 410 pages. 10.00x8.00x0.93 inches. In Stock.
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Elements of Causal Inference Foundations and Learning Algorithms
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 70,50
EUR 14,47 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 288 pages. 9.00x7.00x1.00 inches. In Stock.
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Elements of Causal Inference Foundations and Learning Algorithms
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 74,75
EUR 14,47 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 288 pages. 9.00x7.00x1.00 inches. In Stock.
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Predicting Structured Data
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 75,16
EUR 14,47 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 360 pages. 10.00x8.00x0.62 inches. In Stock.
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Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik
Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2014
ISBN 10: 3642411355 ISBN 13: 9783642411359
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 80,14
EUR 14,47 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 2013 edition. 287 pages. 9.25x6.25x0.75 inches. In Stock.
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Zustand: New. Jonas Peters is Associate Professor of Statistics at the University of Copenhagen.Dominik Janzing is a Senior Research Scientist at the Max Planck Institute for Intelligent Systems in Tübingen, Germany.Bernhard Schölkopf is Directo.
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Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik
Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2016
ISBN 10: 3662525119 ISBN 13: 9783662525111
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 78,61
EUR 34,73 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. reprint edition. 308 pages. 9.30x6.20x0.73 inches. In Stock.
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Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning series)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 102,97
EUR 13,87 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In English.
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Empirical Inference : Festschrift in Honor of Vladimir N. Vapnik
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2016
ISBN 10: 3662525119 ISBN 13: 9783662525111
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book honours the outstanding contributions of Vladimir Vapnik, a rare example of a scientist for whom the following statements hold true simultaneously: his work led to the inception of a new field of research, the theory of statistical learning and empirical inference; he has lived to see the field blossom; and he is still as active as ever. He started analyzing learning algorithms in the 1960s and he invented the first version of the generalized portrait algorithm. He later developed one of the most successful methods in machine learning, the support vector machine (SVM) - more than just an algorithm, this was a new approach to learning problems, pioneering the use of functional analysis and convex optimization in machine learning. Part I of this book contains three chapters describing and witnessing some of Vladimir Vapnik's contributions to science. In the first chapter, Léon Bottou discusses the seminal paper published in 1968 by Vapnik and Chervonenkis that lay the foundations of statistical learning theory, and the second chapter is an English-language translation of that original paper. In the third chapter, Alexey Chervonenkis presents a first-hand account of the early history of SVMs and valuable insights into the first steps in the development of the SVM in the framework of the generalised portrait method. The remaining chapters, by leading scientists in domains such as statistics, theoretical computer science, and mathematics, address substantial topics in the theory and practice of statistical learning theory, including SVMs and other kernel-based methods, boosting, PAC-Bayesian theory, online and transductive learning, loss functions, learnable function classes, notions of complexity for function classes, multitask learning, and hypothesis selection.These contributions include historical and context notes, short surveys, and comments on future research directions. This book will be of interest to researchers, engineers, and graduate students engaged with all aspects of statistical learning.
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Semi-supervised Learning (Adaptive Computation And Machine Learning)
Anbieter: Phatpocket Limited, Waltham Abbey, HERTS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 106,96
EUR 12,32 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
In den WarenkorbZustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
-
Empirical Inference : Festschrift in Honor of Vladimir N. Vapnik
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book honours the outstanding contributions of Vladimir Vapnik, a rare example of a scientist for whom the following statements hold true simultaneously: his work led to the inception of a new field of research, the theory of statistical learning and empirical inference; he has lived to see the field blossom; and he is still as active as ever. He started analyzing learning algorithms in the 1960s and he invented the first version of the generalized portrait algorithm. He later developed one of the most successful methods in machine learning, the support vector machine (SVM) - more than just an algorithm, this was a new approach to learning problems, pioneering the use of functional analysis and convex optimization in machine learning. Part I of this book contains three chapters describing and witnessing some of Vladimir Vapnik's contributions to science. In the first chapter, Léon Bottou discusses the seminal paper published in 1968 by Vapnik and Chervonenkis that lay the foundations of statistical learning theory, and the second chapter is an English-language translation of that original paper. In the third chapter, Alexey Chervonenkis presents a first-hand account of the early history of SVMs and valuable insights into the first steps in the development of the SVM in the framework of the generalised portrait method. The remaining chapters, by leading scientists in domains such as statistics, theoretical computer science, and mathematics, address substantial topics in the theory and practice of statistical learning theory, including SVMs and other kernel-based methods, boosting, PAC-Bayesian theory, online and transductive learning, loss functions, learnable function classes, notions of complexity for function classes, multitask learning, and hypothesis selection.These contributions include historical and context notes, short surveys, and comments on future research directions. This book will be of interest to researchers, engineers, and graduate students engaged with all aspects of statistical learning.
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Elements of Causal Inference : Foundations and Learning Algorithms
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. Neuware - A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data.After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.
