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

Naive Bayes spam filtering

Known as: Bayesian spam filter, Bayesian spam filtering, Baysian filter 
Naive Bayes classifiers are a popular statistical technique of e-mail filtering. They typically use bag of words features to identify spam e-mail, an… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
Homomorphic encryption (HE) systems enable computations on encrypted data, without decrypting and without knowledge of the secret… Expand
  • figure 1
  • table 1
  • table 2
  • figure 2
  • figure 3
Review
2016
Review
2016
The advent of Social Medias, Email services and other internet facilities are found helpful for a wide range of users. But some… Expand
  • figure 1
  • table I
  • table II
  • table V
  • table III
Review
2014
Review
2014
Cognitive dynamic systems provide a broadly defined platform, whereby engineering learns from cognitive neuroscience, and by the… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
2014
2014
In the recent years, we have witnessed a dramatic increment in the volume of spam email. Other related forms of spam are… Expand
2014
2014
In this paper, we consider Bayesian multi-target tracking using phased array of sensors. Although joint Bayesian filtering is… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 5
  • figure 6
Highly Cited
2009
Highly Cited
2009
In this paper we describe the problem of Visual Place Categorization (VPC) for mobile robotics, which involves predicting the… Expand
  • table I
  • figure 2
  • figure 3
  • table II
  • table III
Highly Cited
2009
Highly Cited
2009
Visual localization and mapping for mobile robots has been achieved with a large variety of methods. Among them, topological… Expand
  • figure 1
  • figure 2
  • figure 4
  • figure 3
  • figure 5
2006
2006
Bayesian filter works efficiently by comparing email content (phrases or tokens) against stored database. This paper presents a… Expand
  • table 1
  • table 2
  • table 3
Highly Cited
2005
Highly Cited
2005
This paper explores the use of the naive Bayes classifier as the basis for personalised spam filters. Several machine learning… Expand
  • table 1
  • figure 1
  • table 2
  • figure 2
  • figure 3
Highly Cited
2004
Highly Cited
2004
We propose anti-spare filtering methods for agglutinative languages in general and for Turkish in particular. The methods are… Expand
  • table 1
  • figure 1
  • figure 2
  • figure 3
  • figure 4