A binary tree feature selection technique for limited training sample size
نویسندگان
چکیده
منابع مشابه
A Binary Tree Feature Selection Technique for Limited Training Sample Size
An algorithm is presented that predicts the mean recognition accuracy as a function of dimensionality for two-class problems, using a Bayes classifier in the presence of a limited number of training samples. Several experiments are presented to assess the algorithm's performance, and a binary tree classification procedure that utilizes the algorithm is shown to prove its usefulness .
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ژورنال
عنوان ژورنال: Remote Sensing of Environment
سال: 1984
ISSN: 0034-4257
DOI: 10.1016/0034-4257(84)90063-4