Tolerating noisy, irrelevant and novel attributes in instance-based learning algorithms

1992 International Journal of Man-Machine Studies 406 citations

Keywords

Computer sciencek-nearest neighbors algorithmLarge margin nearest neighborAlgorithmInstance-based learningSet (abstract data type)Noise (video)Task (project management)Best bin firstArtificial intelligenceNearest-neighbor chain algorithmNearest neighbor searchMachine learningIncremental learningData miningStability (learning theory)Cluster analysisImage (mathematics)

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Year
1992
Type
article
Volume
36
Issue
2
Pages
267-287
Citations
406
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David W. Aha (1992). Tolerating noisy, irrelevant and novel attributes in instance-based learning algorithms. International Journal of Man-Machine Studies , 36 (2) , 267-287. https://doi.org/10.1016/0020-7373(92)90018-g

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DOI
10.1016/0020-7373(92)90018-g