Artificial Intelligence
Machine Learning
Discriminative and Generative
Author:
Jebara, Tony
Isbn 13:
9781402076473
ISBN: 1402076479
Pub Date:
Nov 1, 2003
Publisher:
Kluwer Academic
Shipping Weight: 1.40 pounds
Status:
Ships 4-9 days CALL RUSH SHIP
Quantum Price: $98.10
Quantity in Basket: None
Machine learning is a powerful new field with many important practical applications. This book 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 easy-access and more sensible road map into the world of machine learning.
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