Theorem 2.2 Learning bound finite H, inconsistent case Let H be a finite hypothesis set. Then, for any & > 0, with probability at least 1- 6, the following inequality holds: |log |H+log? Vh e H, R(h) < R(h) + (2.20)

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Theorem 2.2 Learning bound – finite H, inconsistent case
Let H be a finite hypothesis set. Then, for any & > 0, with probability at least 1- 6,
the following inequality holds:
Vh e H, R(h) < R(h) +
log |H+log
/
(2.20)
2m
Transcribed Image Text:Theorem 2.2 Learning bound – finite H, inconsistent case Let H be a finite hypothesis set. Then, for any & > 0, with probability at least 1- 6, the following inequality holds: Vh e H, R(h) < R(h) + log |H+log / (2.20) 2m
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