Results 251 to 260 of about 371,575 (291)
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Extended Naive Bayes classifier for mixed data
Expert Systems With Applications, 2008Naive Bayes induction algorithm is very popular in classification field. Traditional method for dealing with numeric data is to discrete numeric attributes data into symbols. The difference of distinct discredited criteria has significant effect on performance. Moreover, several researches had recently employed the normal distribution to handle numeric
Chung-Chian Hsu
exaly +2 more sources
The naive Bayes classifier for functional data
Statistics and Probability Letters, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yi-Chen Zhang
exaly +3 more sources
Bayes’ Theorem and Naive Bayes Classifier
, 2019 The goal of this article is to give a mathematically rigorous yet easily accessible introduction to Bayes’ theorem and the foundations of naive Bayes learning. Starting from fundamental elements of probability theory, this text outlines all steps leading
Berrar, Daniel, Daniel Berrar
openaire +2 more sources
Learning an Optimal Naive Bayes Classifier
18th International Conference on Pattern Recognition (ICPR'06), 2006The naive Bayes classifier is an efficient classification model that is easy to learn and has a high accuracy in many domains. However, it has two main drawbacks: (i) its classification accuracy decreases when the attributes are not independent, and (ii) it can not deal with nonparametric continuous attributes.
Miriam Martinez-Arroyo +1 more
openaire +3 more sources
LNBC: A Link-Based Naive Bayes Classifier
2009 IEEE International Conference on Data Mining Workshops, 2009Many databases store data in relational format, with different types of entities and information about links between the entities. Link-based classification is the problem of predicting the class label of a target entity given information about features of the entity and about features of the related entities.
Bahareh Bina +2 more
openaire +4 more sources
Attribute weighted Naive Bayes classifier using a local optimization [PDF]
Neural Computing and Applications, 2013 The Naive Bayes classifier is a popular classification technique for data mining and machine learning. It has been shown to be very effective on a variety of data classification problems.
Musa Mammadov +2 more
exaly +2 more sources
Generalized Naive Bayes Classifiers
ACM SIGKDD Explorations Newsletter, 2005This paper presents a generalization of the Naive Bayes Classifier. The method is specifically designed for binary classification problems commonly found in credit scoring and marketing applications. The Generalized Naive Bayes Classifier turns out to be a powerful tool for both exploratory and predictive analysis.
openaire +1 more source