IRDDS: Instance reduction based on Distance-based decision surface
In instance-based learning, a training set is given to a classifier for classifying new instances. In practice, not all information in the training set is useful for classifiers. Therefore, it is convenient to discard irrelevant instances from the training set. This process is known as instance redu...
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| Format: | Article |
| Language: | English |
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Shahrood University of Technology
2015-10-01
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| Series: | Journal of Artificial Intelligence and Data Mining |
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| Online Access: | http://jad.shahroodut.ac.ir/article_497_fb6da4a5dc3584e272c683ef8aeb0155.pdf |