AdPreqFr4SL

beta

Adaptive Prequential Learning Framework

Add a Review
1 Download (This Week)
Last Update:
Download AdPreq4FrSL0.1.tar.gz
Browse All Files

Description

The AdPreqFr4SL learning framework for Bayesian Network Classifiers is designed to handle the cost / performance trade-off and cope with concept drift. Our strategy for incorporating new data is based on bias management and gradual adaptation. Starting with the simple Naive Bayes, we scale up the complexity by gradually updating attributes and structure. Since updating the structure is a costly task, we use new data to primarily adapt the parameters and only if this is really necessary, do we adapt the structure. The method for handling concept drift is based on the Shewhart P-Chart.

Project homepage: http://adpreqfr4sl.sourceforge.net

AdPreqFr4SL Web Site

Update Notifications





Write a Review

User Reviews

Be the first to post a review of AdPreqFr4SL!

Additional Project Details

Intended Audience

Developers, Information Technology, Science/Research

User Interface

Console/Terminal

Programming Language

Java

Registered

2010-05-09
Screenshots can attract more users to your project.
Features can attract more users to your project.

Icons must be PNG, GIF, or JPEG and less than 1 MiB in size. They will be displayed as 48x48 images.