Knowledge Discovery with Support Vector Machines
Автор:
An easy-to-follow introduction to support vector machines This book provides an in-depth, easy-to-follow introduction to support vector machines drawing only from minimal, carefully motivated technical and mathematical background material. It begins with a cohesive discussion of machine learning and goes on to cover: Knowledge discovery environments Describing data mathematically Linear decision surfaces and functions Perceptron learning Maximum margin classifiers Support vector machines Elements of statistical learning theory Multi-class classification Regression with support vector machines Novelty detection Complemented with hands-on exercises, algorithm descriptions, and data sets, Knowledge Discovery with Support Vector Machines is an invaluable textbook for advanced undergraduate and graduate courses. It is also an excellent tutorial on support vector machines for professionals who are pursuing research in machine learning and related areas.
- John Wiley & Sons Limited
- 9780470503041
Материалы
Отзывы
Раз в месяц дарим подарки самому активному читателю.Оставляйте больше отзывов, и мы наградим вас!
Цитаты
Вы можете первыми опубликовать цитату
Где найти
-
15001,32 ₽