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On the sample complexity of PAC learning half-spaces against the uniform distribution
1Res. Triangle Inst., Research Triangle Park, NC.
IEEE Transactions on Neural Networks
|January 1, 1995
Abstract:
We prove an Omega(d/epsilon+1/epsilonlog1/delta) lower bound on the PAC (probably approximately correct) learning sample complexity of learning half-spaces against the uniform distribution on the unit ball in R(d).
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