Instance-based learning algorithms

David W. Aha; Dennis Kibler; Marc K. Albert

doi:https://doi.org/10.1007/bf00153759

Instance-based learning algorithms

1991 · Machine Learning · 2,917 citations · 4 from inside this corpus

David W. Aha, Dennis Kibler, Marc K. Albert

No abstract in the source record.

5 of 5 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

this paper works it cites works citing it node size = global citations · hover for the full title

Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

Wrappers for feature subset selection→Instance-based learning algorithmsLegacy edge — source detail unavailable
Machine Learning: Algorithms, Real-World Applications and Research Directions→Instance-based learning algorithmsLegacy edge — source detail unavailable
A Practical Approach to Feature Selection→Instance-based learning algorithmsLegacy edge — source detail unavailable
Classification in the Presence of Label Noise: A Survey→Instance-based learning algorithmsLegacy edge — source detail unavailable
Instance-based learning algorithms→"Schema abstraction" in a multiple-trace memory model.Legacy edge — source detail unavailable
Wrappers for feature subset selection→A Practical Approach to Feature SelectionLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
"Schema abstraction" in a multiple-trace memory model.	1986	1,887

What cites it, inside the corpus

Paper	Year	Cited
Wrappers for feature subset selection	1997	8,991
Machine Learning: Algorithms, Real-World Applications and Research Directions	2021	5,368
A Practical Approach to Feature Selection	1992	2,996
Classification in the Presence of Label Noise: A Survey	2014	1,777

Links

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Topics

Machine Learning and Data Classification	Computer Science
Imbalanced Data Classification Techniques	Computer Science
Machine Learning and Algorithms	Computer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

supports3 author record(s) attached.
supports45 reference(s) recorded.
neutralThe DOI carries no year to check against.
supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:48+00:00.

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