Support Vector Machines
This book explains the principles that make support vector machines (SVMs) a successful modelling and prediction tool for a variety of applications. The authors present the basic ideas of SVMs together with the latest developments and current research questions in a unified style. They identify thre...
Saved in:
Main Authors: | Steinwart, Ingo, Christmann, Andreas |
---|---|
格式: | 圖書 |
語言: | English |
出版: |
Springer
2017
|
主題: | |
在線閱讀: | http://repository.vnu.edu.vn/handle/VNU_123/25624 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Vietnam National University, Hanoi |
語言: | English |
相似書籍
-
Machine Learning Techniques for Multimedia
出版: (2017) -
Machine Learning: Modeling Data Locally and Globally
由: Huang, Kaizhu, et al.
出版: (2017) -
Genetic Programming Theory and Practice VI
出版: (2017) -
Genetic Programming Theory and Practice V
出版: (2017) -
Artificial Intelligence: Theories, Models and Applications
出版: (2017)