Machine Learning
Discriminative and Generative
Seiten
2003
Springer-Verlag New York Inc.
978-1-4020-7647-3 (ISBN)
Springer-Verlag New York Inc.
978-1-4020-7647-3 (ISBN)
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.
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.
1. Introduction.- 2. Generative Versus Discriminative Learning.- 3. Maximum Entropy Discrimination.- 4. Extensions to Med.- 5. Latent Discrimination.- 6. Conclusion.- 7. Appendix.
Reihe/Serie | The Springer International Series in Engineering and Computer Science ; 755 |
---|---|
Zusatzinfo | XVII, 200 p. |
Verlagsort | New York, NY |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
ISBN-10 | 1-4020-7647-9 / 1402076479 |
ISBN-13 | 978-1-4020-7647-3 / 9781402076473 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
was sie kann & was uns erwartet
Buch | Softcover (2023)
C.H.Beck (Verlag)
18,00 €
von absurd bis tödlich: Die Tücken der künstlichen Intelligenz
Buch | Softcover (2023)
Heyne (Verlag)
20,00 €