Queries and Concept Learning

References

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	Year	Citations
A theory of the learnable Leslie G. Valiant Artificial IntelligenceLearning ProblemCognitive ScienceEngineeringKnowledge Acquisition	1984	4.2K
A theory of the learnable Leslie G. Valiant Communications of the ACM	1984	3.2K
Learning regular sets from queries and counterexamples Dana Angluin Information and Computation EngineeringInformation RetrievalData ScienceData MiningAutomated Reasoning	1987	2.1K
Learnability and the Vapnik-Chervonenkis dimension Anselm Blumer, Andrzej Ehrenfeucht, David Haussler, Journal of the ACM Artificial IntelligenceEngineeringMachine LearningAlgorithmic LearningComputational Complexity	1989	1.8K
Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm Nick Littlestone Machine Learning Artificial IntelligenceClassification MethodEngineeringMachine LearningData Science	1988	1.4K
Learning From Noisy Examples Dana Angluin, Philip Laird Machine Learning Instance-based LearningEngineeringMachine LearningData ScienceComputational Learning Theory	1988	658
Finding patterns common to a set of strings Dana Angluin Journal of Computer and System Sciences EngineeringString-searching AlgorithmData MiningPattern RecognitionString Processing	1980	605
Computational limitations on learning from examples Leonard Pitt, Leslie G. Valiant Journal of the ACM Artificial IntelligenceCircuit ComplexityMathematical ProgrammingComputational Complexity TheoryEngineering	1988	530
Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm Nick Littlestone Machine Learning Artificial IntelligenceClassification MethodEngineeringMachine LearningData Science	1988	501
Quantifying inductive bias: AI learning algorithms and Valiant's learning framework David Haussler Artificial Intelligence Dataset BiasArtificial IntelligenceEngineeringMachine LearningData Science	1988	499

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