Scinovex
article Open AccessTop 10% cited

The Strength of Weak Learnability

Machine Learning · 1990 · Vol. 5(2) · pp. 197–227
Robert E. Schapire
Machine Learning and AlgorithmsDomain Adaptation and Few-Shot LearningImbalanced Data Classification TechniquesLearnabilityConcept classProbably approximately correct learningClass (philosophy)Computer scienceSet (abstract data type)Function (biology)AlgorithmFraction (chemistry)Mathematics

Funding

  • Siemens USA
  • Defense Advanced Research Projects Agency
  • Army Research Office
Citations
3,302
FWCI
11.30
field-weighted impact
References
40
Percentile
98%
vs. same field & year
Citations per year
Cited by
Clustering-based undersampling in class-imbalanced data
Information Sciences · 2017 · 807 citations
An introduction to kernel-based learning algorithms
IEEE Transactions on Neural Networks · 2001 · 3,478 citations
Kernel-based methods for hyperspectral image classification
IEEE Transactions on Geoscience and Remote Sensing · 2005 · 1,432 citations
The Lack of A Priori Distinctions Between Learning Algorithms
Neural Computation · 1996 · 1,625 citations
References
Queries and Concept Learning
Machine Learning · 1988 · 1,629 citations
Probability Inequalities for Sums of Bounded Random Variables
Journal of the American Statistical Association · 1963 · 4,657 citations
A theory of the learnable
Communications of the ACM · 1984 · 3,243 citations
Queries and concept learning
Machine Learning · 1988 · 818 citations
Related articles
The Strength of Weak Learnability
Machine Learning · 1990 · 3,302 citations
The strength of weak learnability
Machine Learning · 1990 · 2,447 citations
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.