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PAC Learning with Generalized Samples and an Applicaiton to Stochastic Geometry.
Sanjeev R. Kulkarni
Sanjoy K. Mitter
John N. Tsitsiklis
Ofer Zeitouni
Published in:
IEEE Trans. Pattern Anal. Mach. Intell. (1993)
Keyphrases
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pac learning
uniform distribution
sample complexity
learning theory
computational learning theory
sample size
learning problems
pac learning model
membership queries
vc dimension
pac learnability
data sets
concept classes
decision lists
theoretical analysis
sampling methods
model selection
training set