Peter Turney  Home/Search
Context Related
| nasa.gov/ic/jairwww/vol...turney95a.ps cmu.edu/afs/cs/project...turney95a.ps.Z ai.iit.nrc.ca/pub/iit...NRC38369.ps.Z Cached: PS.gz PS PDF This document uses CoBlitz to cache paper downloads. If your firewall is blocking outgoing connections to port 3125, you can use these links to download local copies.
Image Update HelpPS.gz PS PDF From: washington.edu/...withabstracts (more) From: washington.edu/...withabstracts (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: This paper introduces ICET, a new algorithm for cost-sensitive classification. ICET uses a genetic algorithm to evolve a population of biases for a decision tree induction algorithm. The fitness function of the genetic algorithm is the average cost of classification when using the decision tree, including both the costs of tests (features, measurements) and the costs of classification errors. ICET is compared here with three other algorithms for cost-sensitive classification --- EG2, CS-ID3,... (Update)
Cited by: More
Applications of Evolutionary Computing, Gunther R. Raidl et.. - April Lncs Pp (2003) (Correct)
Optimal Nonmyopic Value of Information in Graphical Models -- - Efficient Algorithms And (2005) (Correct)
Comparison of AdaBoost and Genetic Programming for.. - Langdon, Barrett, Buxton (2003) (Correct)
Active bibliography (related documents): More All
0.0: How to Shift Bias: Lessons from the Baldwin Effect - Peter Turney (1996) (Correct)
0.0: Interactions between Learning and Evolution: The Outstanding.. - Arita, Suzuki (2000) (Correct)
0.0: Adding Learning to Cellular Genetic Algorithms for Training.. - Ku, Mak, Siu (1998) (Correct)
Similar documents based on text: More All
0.3: Developing Technologies for Broad-Network Concurrent Computing - Gray, Sunderam (Correct)
0.3: The IceT Framework for Metacomputing - Gray, Sunderam (Correct)
0.3: IceT: Distributed Computing and Java - Gray, Sunderam (1997) (Correct)
Related documents from co-citation: More All
15: Classification and Regression Trees (context) - Breiman, Friedman et al. - 1984
15: Programs for machine learning (context) - Quinlan - 1993
10: Induction of Decision Trees (context) - Quinlan - 1986
BibTeX entry: (Update)
P. D. Turney. Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm. Journal of Artificial Intelligence Research, 2:369--409, March 1995. Also available as http://- www.cs.washington.edu/research/jair/volume2/turney95a-html/title.html. http://citeseer.ist.psu.edu/turney95costsensitive.html More
@article{ turney95costsensitive,
author = "Peter D. Turney",
title = "Cost-Sensitive Classification: Empirical Evaluation of a Hybrid Genetic Decision Tree Induction Algorithm",
journal = "Journal of Artificial Intelligence Research",
volume = "2",
pages = "369--409",
year = "1995",
url = "citeseer.ist.psu.edu/turney95costsensitive.html" }
Citations (may not include all citations):88 Interactions between learning and evolution (context) - Ackley, Littman - 1991
52 Feature selection for case-based classification of cloud typ.. - Aha, Bankert - 1994
21 Using genetic algorithms for concept learning - De Jong, Spears et al. - 1993
13 Learning and evolution: A quantitative genetics approach (context) - Anderson - 1984
The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://www.cs.washington.edu/research/jair/contents/complete-with-abstracts.html): More
A Uniform Framework for Concept Definitions in Description.. - De Giacomo, Lenzerini (1997) (Correct)
Lifeworld Analysis - Agre, Horswill (1997) (Correct)
The Design and Experimental Analysis of Algorithms for.. - van Beek, Manchak (1996) (Correct)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC