A study of spam filtering using support vector machines
โ Scribed by Ola Amayri; Nizar Bouguila
- Book ID
- 106340617
- Publisher
- Springer Netherlands
- Year
- 2010
- Tongue
- English
- Weight
- 677 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0269-2821
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
In this paper we apply a recently proposed technique of optimal control by support vector machines (SVMs) to chaos control. Vapnik's support vector method, which is based on the structural risk minimization principle and has been very successful in classi"cation and function estimation problems, is
The increasing volumes of unsolicited bulk e-mail (also known as spam) are bringing more annoyance for most Internet users. Using a classifier based on a specific machine-learning technique to automatically filter out spam e-mail has drawn many researchers' attention. This paper is a comparative stu