A binary neural decision table classifier
✍ Scribed by Victoria J. Hodge; Simon O’Keefe; Jim Austin
- Book ID
- 113814314
- Publisher
- Elsevier Science
- Year
- 2006
- Tongue
- English
- Weight
- 311 KB
- Volume
- 69
- Category
- Article
- ISSN
- 0925-2312
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
AMtract--Binary decision trees based on nonparametric statistical models of the data provide a solution to difficult decision problems where there are many classes and many available features related in a complex manner. Unfortunately, the technique requires a very large training set and is often li
At the present time a large number of AI methods have been developed in the field of pattern classification. In this paper, we will compare the performance of a well-known algorithm in machine learning (C4.5) with a recently proposed algorithm in the fuzzy set community (NEFCLASS). We will compare t