Consider the XOR problem where there are four training points (1, 1, ), (1,0, ), (0, 1, ), (0, 0, ) Transform the data into the following feature space (x 1 , x 2 ) (1, x 1 , 2x 2 , 2x 1 x 2 , x 1 2 , x 2 2 ) Find the maximum margin linear decision boundary in the transformed space ...

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Consider the XOR problem where there are four training points: (1, 1, ), (1,0, +), (0, 1,

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Consider the XOR problem where there are four training points:

(1, 1, –), (1,0, +), (0, 1, +), (0, 0, –)

Transform the data into the following feature space:

ϕ(x ₁, x ₂) – (1, √x ₁, √2x ₂, √2x ₁x ₂, x ₁ ², x ₂ ²)

Find the maximum margin linear decision boundary in the transformed space.

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Statistics The Exploration & Analysis of Data

ISBN: 978-1133164135

7th edition

Authors: Roxy Peck, Jay L. Devore

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Posted Date: Sep 06, 2018 03:12 AM

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Consider the XOR problem where there are four training points: (1, 1, ), (1,0, +), (0, 1,

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