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Instance-based learning algorithms
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“K-Nearest Neighbors (KNN) [9] is an “instance-based learning” or non-generalizing learning, also known as a “lazy learning” algorithm.”
From Machine learning: Algorithms, real-world applications and research directions (2021) · cites this paper as [9]
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Cites
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Cited by
Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches
Aamodt, A., & Plaza, E. (1994) · AI Communications · doi:10.3233/aic-1994-7104 · Cited by 5,624
Machine learning: Algorithms, real-world applications and research directions
Sarker, I. H. (2021) · SN Computer Science · doi:10.1007/s42979-021-00592-x · Cited by 5,583
(1998) · Cited by 3,476
Automatic subspace clustering of high dimensional data for data mining applications
Agrawal, R., Gehrke, J., Gunopulos, D., & Raghavan, P. (1998) · Proceedings of the 1998 ACM SIGMOD international conference on Management of data · doi:10.1145/276304.276314 · Cited by 2,412
Classification in the Presence of Label Noise: A Survey
Frenay, B., & Verleysen, M. (2014) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2013.2292894 · Cited by 1,777
Metadata
- Authors
- Aha, D. W., Kibler, D., & Albert, M. K.
- Venue
- Machine Learning
- Published
- 1991-01
- Volume
- 6
- Issue
- 1
- Pages
- 37-66
- ISSN
- 0885-6125
- 1573-0565
- Cited by
- 2,163
- References
- 5
- Language
- en
- Licence
- www.springer.com/tdm (tdm)
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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