Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Naive Bayes classifier

Known as: Bayesian Classifiers, Naive-Bayes, Naïve Bayesian classification 
In machine learning, naive Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes' theorem with strong (naive… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
The ever-increasing number of resource-constrained machine-type communication (MTC) devices is leading to the critical challenge… Expand
  • table I
  • figure 1
  • table II
  • table III
  • figure 2
Is this relevant?
Review
2019
Review
2019
Abstract This research presents an enhanced approach for Aspect-Based Sentiment Analysis (ABSA) of Hotels’ Arabic reviews using… Expand
Is this relevant?
Review
2019
Review
2019
Low-power wide area networks (LPWANs) constitute a type of networks which is used to connect things to the Internet from a wide… Expand
  • figure 1
  • table I
  • figure 3
  • figure 4
  • figure 6
Is this relevant?
Highly Cited
2005
Highly Cited
2005
Of numerous proposals to improve the accuracy of naive Bayes by weakening its attribute independence assumption, both LBR and… Expand
  • table 1
  • table 2
  • table 3
  • table 4
  • table 5
Is this relevant?
Highly Cited
2004
Highly Cited
2004
  • H. Zhang
  • FLAIRS Conference
  • 2004
  • Corpus ID: 8891634
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its… Expand
  • figure 1
  • figure 2
  • figure 3
Is this relevant?
Highly Cited
2003
Highly Cited
2003
Naive Bayes is often used as a baseline in text classification because it is fast and easy to implement. Its severe assumptions… Expand
  • table 1
  • figure 1
  • table 2
  • figure 3
  • figure 2
Is this relevant?
Highly Cited
2001
Highly Cited
2001
We compare discriminative and generative learning as typified by logistic regression and naive Bayes. We show, contrary to a… Expand
  • figure 1
Is this relevant?
Highly Cited
2001
Highly Cited
2001
The naive Bayes classifier greatly simplify learning by assuming that features are independent given class. Although independence… Expand
Is this relevant?
Highly Cited
2001
Highly Cited
2001
The naive Bayesclassifiergreatly simplify learning byassumingthatfeaturesareindependent given class. Although independenceis… Expand
  • figure 1
  • figure 2
  • figure 3
Is this relevant?
Highly Cited
1996
Highly Cited
1996
Naive-Bayes induction algorithms were previously shown to be surprisingly accurate on many classification tasks even when the… Expand
  • figure 1
  • figure 2
  • table 1
  • figure 4
  • figure 5
Is this relevant?