Who Cited It

Selection of relevant features and examples in machine learning

1997 · Artificial Intelligence · 3,309 citations · 2 from inside this corpus

Avrim Blum, Pat Langley

No abstract in the source record.

Selection of relevant features and examples in machine learning (1997)Selection of relevant feature…C4.5: Programs for Machine Learning (1992)C4.5: Programs for Machine Le…Classification and Regression Trees. (1986)Classification and Regression…Learning Internal Representations by Error Propagation (1985)Learning Internal Representat…Wrappers for feature subset selection (1997)Wrappers for feature subset s…The Strength of Weak Learnability (1990)The Strength of Weak Learnabi…A Practical Approach to Feature Selection (1992)A Practical Approach to Featu…Pattern recognition : a statistical approach (1982)Pattern recognition : a stati…The strength of weak learnability (1990)The strength of weak learnabi…Irrelevant Features and the Subset Selection Problem (1994)Irrelevant Features and the S…Learning regular sets from queries and counterexamples (1987)Learning regular sets from qu…The Weighted Majority Algorithm (1994)The Weighted Majority Algorit…Learnability and the Vapnik-Chervonenkis dimension (1989)Learnability and the Vapnik-C…Query by committee (1992)Query by committeeSelf-improving reactive agents based on reinforcement learning, planning and teaching (1992)Self-improving reactive agent…Proceedings of the 20th conference on Uncertainty in artificial intelligence (2004)Proceedings of the 20th confe…Generalization as search (1982)Generalization as searchUncertainty in Artificial Intelligence (1992)Uncertainty in Artificial Int…Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm (1988)Learning Quickly When Irrelev…Feature selection, L 1 vs. L 2 regularization, and rotational invariance (2004)Feature selection, L 1 vs. L …Automated Machine Learning (2019)Automated Machine Learning
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What this paper cites, inside the corpus

PaperYearCited
C4.5: Programs for Machine Learning199223,704
Classification and Regression Trees.198621,044
Learning Internal Representations by Error Propagation198516,273
Wrappers for feature subset selection19978,991
The Strength of Weak Learnability19903,344
A Practical Approach to Feature Selection19922,996
Pattern recognition : a statistical approach19822,927
The strength of weak learnability19902,477
Irrelevant Features and the Subset Selection Problem19942,388
Learning regular sets from queries and counterexamples19872,135
The Weighted Majority Algorithm19942,034
Learnability and the Vapnik-Chervonenkis dimension19891,855
Query by committee19921,673
Self-improving reactive agents based on reinforcement learning, planning and teaching19921,656
Proceedings of the 20th conference on Uncertainty in artificial intelligence20041,548
Generalization as search19821,442
Uncertainty in Artificial Intelligence19921,436
Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm19881,382

What cites it, inside the corpus

PaperYearCited
Feature selection, L 1 vs. L 2 regularization, and rotational invariance20041,603
Automated Machine Learning20191,451

Links

DOI · Open access copy · OpenAlex record

Topics

Machine Learning and AlgorithmsComputer Science
Machine Learning and Data ClassificationComputer Science
Algorithms and Data CompressionComputer Science

Is this record sound?

complete

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

  • supports2 author record(s) attached.
  • supports175 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 2026-09-04T03:58:47+00:00.

sha256 a08467ae9504f237…