Library Open Repository

An Augmentation Hybrid System for Document Classification and Rating.

Downloads

Downloads per month over past year

Dazeley, R and Kang, BH (2004) An Augmentation Hybrid System for Document Classification and Rating. In: PRICAI 2004: 8th Pacific Rim International Conference on Artificial Intelligence, August, Auckland, New Zealand.

[img]
Preview
PDF
PRICAI_2004_Information_Filtering_poster.pdf | Download (16kB)
Available under University of Tasmania Standard License.

Abstract

This paper introduces an augmentation hybrid system, referred to as Rated MCRDR. It uses Multiple Classification Ripple Down Rules (MCRDR), a simple and effective knowledge acquisition technique, combined with a neural network.

Item Type: Conference or Workshop Item (Paper)
Keywords: Hybrid System, MCRDR, RDR, Knowledge Based System, Information Filtering, Document Rating.
Date Deposited: 04 Sep 2004
Last Modified: 18 Nov 2014 03:10
URI: http://eprints.utas.edu.au/id/eprint/60
Item Statistics: View statistics for this item

Repository Staff Only (login required)

Item Control Page Item Control Page