The Overview of Bayes Classification Methods IJTSRD


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

call for paper Computer Graphics, international journal Data Processing, ugc approved journals Multimedia




The Overview of Bayes Classification Methods IJTSRD IEEE PAPER





2020 technology trends
2019-TOP-TECHNOLOGIES
2019 papers
2018-TOP-TECHNOLOGIES
2018 papers

IEEE PROJECTS 2019


IEEE PROJECTS CSE 2019
IEEE PROJECTS ECE 2019
IEEE PROJECTS EEE 2019
IEEE PROJECTS VLSI
IEEE PROJECTS EMBEDDED SYSTEM

IEEE PROJECTS


IEEE PROJECTS ECE
IEEE PROJECTS CSE COMPUTER SCIENCE
IEEE PROJECTS ELECTRICAL ENGINEERING
IEEE PROJECTS EEE

IEEE PROJECTS