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A note on comparing classifiers

delete1996-05-01
delete77
PRE
AI
D
Duin, RPW
DOI:10.1016/0167-8655(95)00113-1delete
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摘要

摘要

En 中文
Recently many new classifiers have been proposed, mainly based on neural network techniques. Comparisons are needed to evaluate the performance of the new methods. It is argued that a straightforward fair comparison demands automatic classifiers with no user interaction. As this conflicts with one of the main characteristics of neural networks, their flexibility, the question whether they are better or worse than traditional techniques might be undecidable.
Keyword:
automatic classifiers
benchmarking
comparisons
feedforward neural networks
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期刊

Pattern Recognition Letters 封面图
Pattern Recognition Letters
IF:
3.3
论文数:
7.9K
被引数:
1.6W

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