8.1 Perceptron lower bound. Let S be a labeled sample of m points in RN with xi

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8.1 Perceptron lower bound. Let S be a labeled sample of m points in RN with xi = ((????1)i; : : : ; (????1)i; (????1)i+1

| {z }

i rst components

; 0; : : : ; 0) and yi = (????1)i+1: (8.30)

Show that the Perceptron algorithm makes (2N) updates before nding a separating hyperplane, regardless of the order in which it receives the points.

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Related Book For  book-img-for-question

Foundations Of Machine Learning

ISBN: 9780262351362

2nd Edition

Authors: Mehryar Mohri, Afshin Rostamizadeh

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