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