In PAC learning, discuss the advantages and disadvantages of requiring that the same sample size m(, )

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In PAC learning, discuss the advantages and disadvantages of requiring that the same sample size m(, δ) work for every choice of prior probabilities and conditional densities. How might we modify the definition of PAC learning model to relax this requirement?

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