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Paperback. Zustand: Brand New. 2016 ed. edition. 364 pages. 9.25x6.25x1.00 inches. In Stock.

Kartoniert / Broschiert. Zustand: New. KlappentextrnrnThis open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of interna.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Diploma Thesis from the year 2007 in the subject Computer Science - Theory, grade: 1,0, University of Leipzig, 127 entries in the bibliography, language: English, abstract: Constraint programming is an area of Artificial Intelligence which has many applications. This thesis applies its techniques to a new kind of problem - the rendering of online retailer websites. First, in-depth introductions to constraint programming and the problem of rendering a shop website will be given. A prototypical implementation of a constraint problem solver and a system to solve and illustrate the problem will be described. The architecture of the prototypical implementation and specific features, algorithms, and design decisions will be detailed, analysed, and illustrated. An overview of related work both in the fields of constraint programming and website generation will be presented and existing technologies evaluated. Features and concepts unique to this thesis, like real-time constraint satisfaction, will be introduced and discussed. Finally, a comprehensive example will illustrate the problem, means of modelling it, and possible solutions. An outlook to future work and a summary conclude the thesis. Constraint Programming ist ein Teilgebiet der künstlichen Intelligenz mit vielen praktischen Anwendungen. Diese Diplomarbeit wendet die Techniken auf eine neue Art von Problem an - das Rendern von Webseiten von Internetshops. Zuerst wird eine detaillierte Einführung zu Constraint Programming und dem Problem die Webseite eines Online-Shops zu rendern gegeben werden. Eine Beispielimplementierung eines Constraint Problem Solvers und eines Systems um das Problem zu lösen und illustrieren werden beschrieben werden. Die Architektur der Beispielimplementierung und spezielle Eigenschaften, Algorithmen und Implementierungsentscheidungen werden genau beschrieben, analysiert und illustriert werden. Ein Überblick von ähnlichen Arbeiten sowohl im Bereich des Constraint Programming als auch im Bereich des Generierens von Webseiten wird dargestellt und vorhandene Technologien bewertet werden. Besonderheiten und Konzepte, die in dieser Diplomarbeit erarbeitet wurden, wie Echtzeit-Constraint Satisfaction, werden eingeführt und diskutiert werden. Schließlich wird ein ausführliches Beispiel das Problem, Arten der Modellierung und mögliche Lösungen veranschaulichen. Ein Ausblick auf zukünftige Forschung und eine Zusammenfassung beschließen diese Diplomarbeit.

Gebunden. Zustand: New. KlappentextrnrnThis open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of interna.

Buch. Zustand: Neu. Neuware -This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 236 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -A successful integration of constraint programming and data mining has the potential to lead to a new ICT paradigm with far reaching implications. It could change the face of data mining and machine learning, as well as constraint programming technology. It would not only allow one to use data mining techniques in constraint programming to identify and update constraints and optimization criteria, but also to employ constraints and criteria in data mining and machine learning in order to discover models compatible with prior knowledge.This book reports on some key results obtained on this integrated and cross- disciplinary approach within the European FP7 FET Open project no. 284715 on ¿Inductive Constraint Programming¿ and a number of associated workshops and Dagstuhl seminars. The book is structured in five parts: background; learning to model; learning to solve; constraint programming for data mining; and showcases.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 364 pp. Englisch.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - A successful integration of constraint programming and data mining has the potential to lead to a new ICT paradigm with far reaching implications. It could change the face of data mining and machine learning, as well as constraint programming technology. It would not only allow one to use data mining techniques in constraint programming to identify and update constraints and optimization criteria, but also to employ constraints and criteria in data mining and machine learning in order to discover models compatible with prior knowledge. This book reports on some key results obtained on this integrated and cross- disciplinary approach within the European FP7 FET Open project no. 284715 on 'Inductive Constraint Programming' and a number of associated workshops and Dagstuhl seminars. The book is structured in five parts: background; learning to model; learning to solve; constraint programming for data mining; and showcases.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.

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Taschenbuch. Zustand: Neu. Using constraints to render websites | Applications of artificial intelligence in e-commerce environments | Lars Kotthoff | Taschenbuch | 140 S. | Englisch | 2008 | GRIN Verlag | EAN 9783638909488 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Paperback. Zustand: Brand New. 360 pages. 10.00x7.00x0.79 inches. In Stock.

Zustand: New. Bernd Bischl is a professor of Statistical Learning and Data Science in LMU Munich and co-director of the Munich Center for Machine Learning. He studied Computer Science, Artificial Intelligence and Data Science and holds a PhD in statistics. His .

Taschenbuch. Zustand: Neu. Neuware - mlr3 is an award-winning ecosystem of R packages that have been developed to enable state-of-the-art machine learning capabilities in R. This book gives an overview of flexible and robust machine learning methods, with an emphasis on how to implement them using mlr3 in R.

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Hardcover. Zustand: Brand New. 360 pages. 10.00x7.00x0.87 inches. In Stock.