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» Classification Using Multiple and Negative Target Rules
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CGF
2008
131views more  CGF 2008»
13 years 7 months ago
Concurrent Viewing of Multiple Attribute-Specific Subspaces
In this work we present a point classification algorithm for multi-variate data. Our method is based on the concept of attribute subspaces, which are derived from a set of user sp...
Robert Sisneros, C. Ryan Johnson, Jian Huang
CLEF
2010
Springer
13 years 8 months ago
Detection of Visual Concepts and Annotation of Images Using Predictive Clustering Trees
Abstract. In this paper, we present a multiple targets classification system for visual concepts detection and image annotation. Multiple targets classification (MTC) is a variant ...
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, ...
INFOCOM
2006
IEEE
14 years 1 months ago
Detecting Stations Cheating on Backoff Rules in 802.11 Networks Using Sequential Analysis
— As the commercial success of the IEEE 802.11 protocol has made wireless infrastructure widely deployed, user organizations are increasingly concerned about the new vulnerabilit...
Yanxia Rong, Sang Kyu Lee, Hyeong-Ah Choi
PRICAI
2004
Springer
14 years 21 days ago
An Augmentation Hybrid System for Document Classification and Rating
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 acquisi...
Richard Dazeley, Byeong Ho Kang
BMCBI
2006
129views more  BMCBI 2006»
13 years 7 months ago
Identifying genes that contribute most to good classification in microarrays
Background: The goal of most microarray studies is either the identification of genes that are most differentially expressed or the creation of a good classification rule. The dis...
Stuart G. Baker, Barnett S. Kramer