6 projects tagged "Artificial Intelligence"
Updated 10 Sep 2003
Naiban
| Pop | 33.00 |
|---|---|
| Vit | 1.00 |
Naiban is a complete standalone Java application and an Avalon/Keel framework classification service. It features Naive-Bayes based algorithms, JDBC backed persistance, and support for text and numerics. Naive Bayes learning classifiers have recently gained popularity in their application to the spam vs. ham problem. Naiban provides a learning classifier service to the Avalon/Keel framework, and comes complete with two text classifiers and a simple numeric classifier. It is easily extendable, and provides two persistance mechanisms for storing trained data.
Updated 11 Oct 2006
Ruckus MailFILTER
| Pop | 48.47 |
|---|---|
| Vit | 2.65 |
Ruckus MailFILTER is an anti-spam email filtering software tool for ISPs, gateway server, and hosted platform environments. It combines several different methods for analyzing messages for spam, including Bayesian filtering.
Updated 27 Nov 2009
Script Identifier
| Pop | 44.90 |
|---|---|
| Vit | 2.45 |
Scriptid is a program and a library that can be used to determine whether a given text file contains code of a specified programming language. The current release can tell whether a file contains vbscript or not. It should be possible to extend this to any number of other languages. It is important to also download the latest neural network weights update file.
Updated 14 Mar 2003
Select text classifier
| Pop | 26.06 |
|---|---|
| Vit | 1.43 |
Select is a text classification program. It uses supervised learning methods with incremental learning. Several different classification algorithms are included. It can be used, for example, for email classification.
Updated 26 Mar 2006
dbacl
| Pop | 178.90 |
|---|---|
| Vit | 5.01 |
dbacl is a digramic Bayesian text classifier. Given some text, it calculates the posterior probabilities that the input resembles one of any number of previously learned document collections. It can be used to sort incoming email into arbitrary categories such as spam, work, and play, or simply to distinguish an English text from a French text. It fully supports international character sets, and uses sophisticated statistical models based on the Maximum Entropy Principle.
Updated 12 Nov 2005
ifile
| Pop | 48.44 |
|---|---|
| Vit | 2.06 |
ifile was one of the first implementations of a "Bayesian" mail filter. It has been adapted to a number of different clients: MH, EXMH, GNUS, PINE, and procmail-compatible clients.
