A novel Bayesian classification for uncertain data
โ Scribed by Biao Qin; Yuni Xia; Shan Wang; Xiaoyong Du
- Publisher
- Elsevier Science
- Year
- 2011
- Tongue
- English
- Weight
- 240 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0950-7051
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
The average probability of error is used to demonstrate the performance of a Bayesian classi"cation test (referred to as the Combined Bayes Test (CBT)) when the training data of each class are mislabeled. The CBT combines the information in discrete training and test data to infer symbol probabiliti
Neural networks are considered by many to be very promising tools for classification and prediction. The flexibility of the neural network models often result in over-fit. Shrinking the parameters using a penalized likelihood is often used in order to overcome such over-fit. In this paper we extend