Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 209,969,031 papers from all fields of science
Search
Sign In
Create Free Account
Naive Bayes spam filtering
Known as:
Bayesian spam filter
, Bayesian spam filtering
, Baysian filter
Expand
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
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
21 relations
Anti-Spam SMTP Proxy
Anti-spam techniques
Arithmetic underflow
Bayesian poisoning
Expand
Broader (1)
Estimation theory
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Accurate Location Tracking From CSI-Based Passive Device-Free Probabilistic Fingerprinting
Shuyu Shi
,
S. Sigg
,
Lin Chen
,
Yusheng Ji
IEEE Transactions on Vehicular Technology
2018
Corpus ID: 49267244
The research on indoor localization has received great interest in recent years. This has been fueled by the ubiquitous…
Expand
Review
2016
Review
2016
Analyzing the Effectiveness of N-gram Technique Based Feature Set in a Naive Bayesian Spam Filter
Nikhil V Mathew
,
V. R. Bai
International Conference on Emerging…
2016
Corpus ID: 37270664
The advent of Social Medias, Email services and other internet facilities are found helpful for a wide range of users. But some…
Expand
Highly Cited
2015
Highly Cited
2015
SHIELD: Scalable Homomorphic Implementation of Encrypted Data-Classifiers
Alhassan F. Khedr
,
G. Gulak
,
V. Vaikuntanathan
IEEE transactions on computers
2015
Corpus ID: 8667776
Homomorphic encryption (HE) systems enable computations on encrypted data, without decrypting and without knowledge of the secret…
Expand
Review
2014
Review
2014
On Cognitive Dynamic Systems: Cognitive Neuroscience and Engineering Learning From Each Other
S. Haykin
,
J. Fuster
Proceedings of the IEEE
2014
Corpus ID: 207022454
Cognitive dynamic systems provide a broadly defined platform, whereby engineering learns from cognitive neuroscience, and by the…
Expand
2014
2014
SMS Spam Filtering Application Using Android
Gaurav Sethi
,
Vijender Bhootna
2014
Corpus ID: 17476906
In the recent years, we have witnessed a dramatic increment in the volume of spam email. Other related forms of spam are…
Expand
Highly Cited
2010
Highly Cited
2010
Generalised Filtering
Karl J. Friston
,
K. Stephan
,
Baojuan Li
,
J. Daunizeau
2010
Corpus ID: 12422527
We describe a Bayesian filtering scheme for nonlinear state-space models in continuous time. This scheme is called Generalised…
Expand
Highly Cited
2009
Highly Cited
2009
Visual Place Categorization: Problem, dataset, and algorithm
Jianxin Wu
,
H. Christensen
,
James M. Rehg
IEEE/RSJ International Conference on Intelligent…
2009
Corpus ID: 18018246
In this paper we describe the problem of Visual Place Categorization (VPC) for mobile robotics, which involves predicting the…
Expand
Highly Cited
2005
Highly Cited
2005
Naive Bayes spam filtering using word-position-based attributes and length-sensitive classification thresholds
Johan Hovold
International Conference on Email and Anti-Spam
2005
Corpus ID: 12459051
This paper explores the use of the naive Bayes classifier as the basis for personalised spam filters. Several machine learning…
Expand
Review
2005
Review
2005
A Tutorial on Bayesian Estimation and Tracking Techniques Applicable to Nonlinear and Non-Gaussian Processes
January
,
A. Haug
,
F. Driscoll
,
G. Jacyna
2005
Corpus ID: 118865840
Nonlinear filtering is the process of estimating and tracking the state of a nonlinear stochastic system from non-Gaussian noisy…
Expand
Highly Cited
2004
Highly Cited
2004
Adaptive anti-spam filtering for agglutinative languages: a special case for Turkish
Levent Özgür
,
Tunga Güngör
,
F. Gürgen
Pattern Recognition Letters
2004
Corpus ID: 11498387
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE