Parallel Distance-Based Instance Selection Algorithm for Feed-Forward Neural Network
Instance selection endeavors to decide which instances from the data set should be maintained for further use during the learning process. It can result in increased generalization of the learning model, shorter time of the learning process, or scaling up to large data sources. This paper presents a...
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| Format: | Article |
| Language: | English |
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De Gruyter
2017-04-01
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| Series: | Journal of Intelligent Systems |
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| Online Access: | https://doi.org/10.1515/jisys-2015-0039 |