8.2 Generalized mistake bound. Theorem 8.8 presents a margin bound on the maximum number of updates for

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8.2 Generalized mistake bound. Theorem 8.8 presents a margin bound on the maximum number of updates for the Perceptron algorithm for the special case = 1.

Consider now the general Perceptron update wt+1 wt + ytxt, where > 0.

Prove a bound on the maximum number of mistakes. How does aect the bound?

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Foundations Of Machine Learning

ISBN: 9780262351362

2nd Edition

Authors: Mehryar Mohri, Afshin Rostamizadeh

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Question Posted: Oct 12, 2024 10:00 AM

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8.2 Generalized mistake bound. Theorem 8.8 presents a margin bound on the maximum number of updates for

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Foundations Of Machine Learning

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