Machine Learning: Discriminative and Generative. (The Kluwer international series in engineering and computer science) - Hardcover

Jebara, Tony

Hardcover

ISBN 10: 1402076479 ISBN 13: 9781402076473

Verlag: Kluwer Academic Publishers, 2003

Inhaltsangabe

Machine Learning: Discriminative and Generative covers the main contemporary themes and tools in machine learning ranging from Bayesian probabilistic models to discriminative support-vector machines. However, unlike previous books that only discuss these rather different approaches in isolation, it bridges the two schools of thought together within a common framework, elegantly connecting their various theories and making one common big-picture. Also, this bridge brings forth new hybrid discriminative-generative tools that combine the strengths of both camps. This book serves multiple purposes as well. The framework acts as a scientific breakthrough, fusing the areas of generative and discriminative learning and will be of interest to many researchers. However, as a conceptual breakthrough, this common framework unifies many previously unrelated tools and techniques and makes them understandable to a larger portion of the public. This gives the more practical-minded engineer, student and the industrial public an easy-access and more sensible road map into the world of machine learning.

Machine Learning: Discriminative and Generative is designed for an audience composed of researchers & practitioners in industry and academia. The book is also suitable as a secondary text for graduate-level students in computer science and engineering.

Details zur Ausgabe

• Verlag: Kluwer Academic Publishers
• Erscheinungsdatum: 2003
• Sprache: Englisch
• ISBN 10: 1402076479
• ISBN 13: 9781402076473
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 197
• Kontakt zum Hersteller: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Tiergartenstr. 17; Heidelberg; 69121; Deutschland