Bounds for the Bayes Error in Classification: A Bayesian Approach Using Discriminant Analysis
โ Scribed by T. Pham-Gia; N. Turkkan; A. Bekker
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Weight
- 281 KB
- Volume
- 16
- Category
- Article
- ISSN
- 1613-981X
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
The purpose of this paper is to present an approach to be taken when using packaged statistical programs for the evaluation of multivariate data, in particular those programs designed for clustering, classification, and discrimination purposes. A systematic step-by-step approach is outlined starting
We propose a Bayesian approach using nonhomogeneous Poisson process to estimate the number of species of a population. The proposed methodology uses a -mixture to eliminate the unknown total mean of each species. One contribution of the article is to apply the Metropolis-within-Gibbs algorithm to ob
Probabilistic neural networks (PNNs) were used in conjunction with the Gompertz model for bacterial growth to classify the lag, logarithmic, and stationary phases in a batch process. Using the fermentation time and the optical density of diluted cell suspensions, sampled from a culture of Bacillus s