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Bayesian filter (6 results)
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- Spam Reader 3.0 (Windows)
- Spam Reader is a MS Outlook plug-in that extends Outlook functionality with a Bayesian spam filter. There is no need to run an external program. Spam Reader fully integrates into MS Outlook. Spam Reader analyzes each message when you receive it and puts it in the Spam folder if needed....
- Software downloads 2009-10-11
- SpamSweep 1.6.2 (Mac)
- SpamSweep is an advanced bayesian spam filter with a simple, easy to understand interface. SpamSweep seamlessly combines many filtering technologies, including domain and relay blacklists, sender whitelisting, and a bayesian filter to automatically delete spam messages before they're downloaded by your email client. SpamSweep can notify you when you have...
- Software downloads 2009-09-20
- A Bayesian Model for Sales Forecasting at Sun Microsystems
- An accurate short-term forecast of product sales is vital for the smooth operation of modern supply chains, especially where the manufacture of complex products is outsourced internationally. As a vendor of enterprise computing products whose business model has long emphasized extensive outsourcing, Sun Microsystems Inc. has a keen interest in...
- White papers 2009-03-20
- Bayesian Modeling Using the MCMC Procedure
- Bayesian methods have become increasingly popular in modern statistical analysis and are being applied to a broad spectrum of scientific fields and research areas. This paper introduces the new MCMC procedure in SAS/STAT 9.2, which is designed for general-purpose Bayesian computations. The MCMC procedure enables one to carry out analysis...
- White papers 2009-02-27
- AfterLogic XMail Server Lite for Windows 3.2 (Windows)
- AfterLogic XMail Server Lite is free open source e-mail server for Linux and Windows platforms. Includes Web mail and Web administration panel with AJAX interface, supports TLS/SSL secure connections, SMTP authentication, ESMTP, unlimited number of domains, account and domain aliasing, anti-spam features (Bayesian filter, DomainKeys, black lists), mailing lists, logging,...
- Software downloads 2009-02-18
- Interference-Aware MAC Protocol for Wireless Networks by a Game-Theoretic Approach
- This paper proposes an interference-aware MAC protocol using a simple transmission strategy motivated by a game-theoretic approach. The paper formulates a channel access game, which considers nodes concurrently transmitting in nearby clusters, incorporating a realistic wireless communication model - the SINR model. Under inter-cluster interference, one derives a decentralized transmission...
- White papers 2009-01-21
- Spamnix 3.0.30 (Mac)
- Spamnix for Eudora is a plug-in for Qualcomm Eudora that blocks unwanted spam email. Once you install it, it automatically runs whenever Eudora runs.Spamnix checks for spam automatically each time you download mail. Spamnix also uses Bayesian filtering, a statistical machine-learning technique that analyzes the words in sample training spam...
- Software downloads 2009-01-12
- Spam Filtering With Several Novel Bayesian Classifiers
- This paper presents spam filtering with three novel bayesian classification methods: Aggregating One-Dependence Estimators AODE, Hidden Naïve Bayes HNB, Locally Weighted learning with Naïve Bayes LWNB. Other four traditional classifiers: Naïve Bayes, k Nearest Neighbor kNN, Support Vector Machine SVM, C4.5 are also performed for comparison. Four feature selection methods:...
- White papers 2008-11-11
- Measuring Network Security Using Dynamic Bayesian Network
- Given the increasing dependence of societies on networked information systems, the overall security of these systems should be measured and improved. Existing security metrics have generally focused on measuring individual vulnerabilities without considering their combined effects. The previous work tackle this issue by exploring the causal relationships between vulnerabilities encoded...
- White papers 2008-10-27
- What Is a Bayesian Filter?
- Bayesian spam filters calculate the probability of a message being spam based on its contents. Unlike simple content-based filters, Bayesian spam filtering learns from spam and from good mail, resulting in a very robust, adapting and efficient anti-spam approach that, best of all, returns hardly any false positives. Those plagued...
- White papers 2008-09-13
- SpamEraser 1.0 (Windows)
- SpamEraser is easy to setup and use, with very low risk of missing legitimate email. It�s key features include: Smart Bayesian Filtering Using the Bayesian filtering technology, SpamEraser is one of the most effective and efficient anti-spam solution. SpamEraser gets smarter over time when you trained it to recognize spam...
- Software downloads 2008-08-15
- GFI MailEssentials for Exchange/SMTP 14 Beta 1 build 20080808 (Windows)
- GFI MailEssentials for Exchange/SMTP is a server based anti spam & email management solution for Microsoft Exchange Server & Notes/SMTP servers. Spam is caught before the mail server, no need to deploy client software. Its advanced Spam detection technology is based on the following key features: Bayesian filtering technology...
- Software downloads 2008-08-14
- Sa4o - SafestMail4Outlook 2 (Windows)
- Permission based and Bayesian logic. Protect your e-mail against spam. Sa4o provides 9 filtering levels - SPF, sender's e-mail address, domain, subject, body content, header content, file attachment type, sender's country and bayesian method. Version 2 include unspecified updates.
- Software downloads 2008-07-10
- Bayesian Event Classification for Intrusion Detection
- Intrusion Detection Systems IDSs attempt to identify attacks by comparing collected data to predefined signatures known to be malicious (misuse-based IDSs) or to a model of legal behavior (anomaly-based IDSs). Anomaly-based approaches have the advantage of being able to detect previously unknown attacks, but they suffer from the difficulty of...
- White papers 2008-01-01
- A Bayesian Approach to Bandwidth Selection for Multivariate Kernel Regression With an Application to State-Price Density Estimation
- Multivariate kernel regression is an important tool for investigating the relationship between a response and a set of explanatory variables. It is generally accepted that the performance of a kernel regression estimator largely depends on the choice of bandwidth rather than the kernel function. This nonparametric technique has been employed...
- White papers 2007-11-01
- Fingerprinting Versus Bayesian Filtering
- This paper reviews performance and other criteria of leading open source and commercial applications relevant for network administrators and managers when evaluating their choices between the two general classes of technologies. Specifically, the analysis compares the features of three leading fingerprint systems (eXpurgate, commtouch, and Mailshell) with two filters that...
- White papers 2007-09-17
- JGuiB 3.0 (Mac)
- JGuiB for MacOS X is a GUI written in Java (JDK v5.0) which has been designed and implemented to work with Boomer which is an excellent PK/PD modeling program. JGuiB turns interactive mode of Boomer into a GUI-based window application using command-line mode of Boomer. JGuiB includes three most commonly...
- Software downloads 2007-06-28
- JGuiB for Win 3.0 (Windows)
- a GUI written in Java (JDK v5.0) which has been designed and implemented to work with Boomer which is an excellent PK/PD modeling program. JGuiB turns interactive mode of Boomer into a GUI-based window application using command-line mode of Boomer. JGuiB includes three most commonly used functions of Boomer in...
- Software downloads 2007-06-28
- Learn how spam filtering works: Explore tokenization, the building blocks of spam
- Learn how spam filtering works and how language classification and machine learning combine to produce remarkably accurate spam filters in Ending Spam: Bayesian Content Filtering and the Art of Statistical Language Classification. The book describes, in depth, how statistical filtering is being used by next-generation spam filters to...
- Book chapters 2007-05-17
- A Bayesian Networks in Intrusion Detection Systems
- Intrusion Detection Systems IDSs have been widely used to overcome security threats in computer networks. Anomaly-based approaches have the advantage of being able to detect previously unknown attacks, but they suffer from the difficulty of building robust models of acceptable behaviour which may result in a large number of false...
- White papers 2007-04-11
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