The Overview of Bayes Classification Methods
Journal: International Journal of Trend in Scientific Research and Development (Vol.2, No. 4)Publication Date: 2018-08-01
Authors : Harshad M. Kubade;
Page : 2801-2802
Keywords : Bayes theorem; Bayesian belief networks; Naive Bayes classifier; prior probability; posterior probability;
Abstract
The Bayes methods are popular in classification because they are optimal. To apply Bayes methods, it is required that prior probabilities and distribution of patterns for class should be known. The pattern is assigned to highest posterior probability class. The three main methods under Bayes classifier are Byes theorem, the Naive Bayes classifier and Bayesian belief networks. Harshad M. Kubade"The Overview of Bayes Classification Methods" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd15750.pdf http://www.ijtsrd.com/computer-science/data-miining/15750/the-overview-of-bayes-classification-methods/harshad-m-kubade
Other Latest Articles
- Seasonal Dynamics of Arbuscular Mycorrhizal Fungi, Glomalin and Soil Properties in Agroecosystems of Nanded District
- A Study on Orbital Mechanics
- Single Image Super-Resolution Using Analytical Solution for L2-L2 Algorithm
- A Survey on Classification of Feature Selection Strategies
- An Image Quality Assessment of Multi-Exposure Image Fusion by Improving SSIM
Last modified: 2018-08-02 18:16:41