Open AccessImplementation and Error Analysis of MNIST Handwritten Dataset Classification Based on Bayesian Decision Classifier
Author(s) -
Rui Ma,
Han Long,
Hui Geng
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2171/1/012049
Subject(s) - pattern recognition (psychology) , artificial intelligence , computer science , mnist database , bayesian probability , cluster analysis , classifier (uml) , artificial neural network , facial recognition system , machine learning , naive bayes classifier , intelligent character recognition , speech recognition , character recognition , support vector machine , image (mathematics)
In recent years, with the continuous development of computer technology, pattern recognition technology has gradually entered people’s life and learning, and people’s demand for pattern recognition technology is also growing.In order to adapt to people’s life and study, the application of pattern recognition theory is more and more, such as speech recognition, character recognition, face recognition and so on.The main methods of pattern recognition are statistics, clustering,neural network and artificial intelligence.Statistical method is one of the most classic methods, and Bayesian classification is widely used in statistical method because of its convenience and good classification effect.