NDLI: A new classifier simulator for evaluating parallel combination methods

Content Provider	IEEE Xplore Digital Library
Author	Zouari, H. Heutte, L. Lecourtier, Y. Alimi, A.
Copyright Year	2003
Description	Author affiliation: Lab. Perception, Systemes, Inf., Univ. de Rouen, France (Zouari, H.; Heutte, L.; Lecourtier, Y.)
Abstract	The use of artificial outputs generated by a classifier simulator has recently emerged as a new trend to provide an underlying evaluation of classifier combination methods. In this paper, we propose a new method for the artificial generation of classifier outputs based on additional parameters which provide sufficient diversity to simulate, for a problem of any number of classes and any type of output, any classifier performance. This is achieved through a two-step algorithm which first builds a confusion matrix according to desired behaviour and secondly generates, from this confusion matrix, outputs of any specified type. We provide the detailed algorithms and constraints to respect for the construction of the matrix and the generation of outputs. We illustrate on a small example the usefulness of the classifier simulator.
Sponsorship	TC10 (Graphics Recognition) and TC11 (Reading Syst.) of the Int. Assoc. Pattern Recognition (IAPR)
Starting Page	26
Ending Page	30
File Size	235289
Page Count	5
File Format	PDF
ISBN	0769519601
DOI	10.1109/ICDAR.2003.1227622
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-08-06
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Testing Artificial intelligence Machine intelligence Voting Stochastic processes Automatic generation control Automatic control Performance analysis
Content Type	Text
Resource Type	Article

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