The Strength of Weak Learnability

1990 · Machine Learning · 3,344 citations · 19 from inside this corpus

No abstract in the source record.

21 of 21 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

What this paper cites, inside the corpus

Paper	Year	Cited
Learnability and the Vapnik-Chervonenkis dimension	1989	1,855
Queries and Concept Learning	1988	1,636

What cites it, inside the corpus

Paper	Year	Cited
Deep learning in neural networks: An overview	2014	18,236
Wrappers for feature subset selection	1997	8,991
Experiments with a new boosting algorithm	1996	7,582
Pattern Recognition and Neural Networks	1996	6,514
An introduction to kernel-based learning algorithms	2001	3,498
Selection of relevant features and examples in machine learning	1997	3,309
Understanding Machine Learning: From Theory To Algorithms	2015	3,081
Popular Ensemble Methods: An Empirical Study	1999	2,988
Ensemble based systems in decision making	2006	2,965
A Short Introduction to Boosting	1999	2,952
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…	2011	2,834
Solving Multiclass Learning Problems via Error-Correcting Output Codes	1995	2,729
An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…	1999	2,656
Boosting the margin: a new explanation for the effectiveness of voting methods	1998	2,344
The Boosting Approach to Machine Learning: An Overview	2003	2,023
Ensembling neural networks: Many could be better than all	2002	1,990
A survey on ensemble learning	2019	1,951
Extreme learning machines: a survey	2011	1,932
The Lack of A Priori Distinctions Between Learning Algorithms	1996	1,661

Links

DOI · Open access copy · OpenAlex record

Topics

Machine Learning and Algorithms	Computer Science
Domain Adaptation and Few-Shot Learning	Computer Science
Imbalanced Data Classification Techniques	Computer Science

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complete

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

supports1 author record(s) attached.
supports40 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.

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