Efficient distribution-free learning of probabilistic concepts

References

Page 1

	Year	Citations
Fuzzy sets L. A. Zadeh Information and Control	1965	64.9K
Introduction to Algorithms V. J. Rayward‐Smith, Thomas H. Cormen, Charles E. Leiserson, Journal of the Operational Research Society	1991	16.9K
Probability Inequalities for Sums of Bounded Random Variables Wassily Hoeffding Journal of the American Statistical Association Large DeviationsEngineeringPositive Number NtProbability InequalitiesLower Bound	1963	4.6K
A theory of the learnable Leslie G. Valiant Artificial IntelligenceLearning ProblemCognitive ScienceEngineeringKnowledge Acquisition	1984	4.2K
Pattern classification and scene analysis Y.P. Chien IEEE Transactions on Automatic Control Scene AnalysisImage AnalysisMachine VisionEngineeringData Mining	1974	3.4K
A theory of the learnable Leslie G. Valiant Communications of the ACM	1984	3.2K
An Introduction to Generalized Linear Models. Potter C. Chang, Annette J. Dobson Journal of the American Statistical Association Part 1Generalized Linear ModelsEstimation StatisticExponential FamilyLogistic Regression	1991	2.5K
On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities Vladimir Vapnik, Alexey Chervonenkis Theory of Probability and Its Applications EngineeringEntropyImprecise ProbabilityProbabilistic ComputationStatistical Inference	1971	2.4K
Convergence of Stochastic Processes. Peter M. Robinson, David Pollard Economica EngineeringStochastic AnalysisStochastic PhenomenonFunctional AnalysisStochastic Differential Equations	1985	2.2K
Learnability and the Vapnik-Chervonenkis dimension Anselm Blumer, Andrzej Ehrenfeucht, David Haussler, Journal of the ACM Artificial IntelligenceEngineeringMachine LearningAlgorithmic LearningComputational Complexity	1989	1.8K

Page 1