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Construct a support vector machine SVM (by hand calculating it’s hyperparameters Wi and b) that computes the AND function. Use values +1 and -1 (instead of 1 and 0) for the target output, so that the four input points and the corresponding target outputs look like ([0, 0], -1); ([1, 0], -1); ([0, 1], - 1); and ([1, 1], 1]. Draw those four input points along with the decision boundary function (W*X +b) in the Euclidean space. What is the margin?. Check also the correctness of your SVM model with the test input points [1.5, 0.2] and [0.8, 02]. Please consult to AIMA 3rd Edition pp.744-748

Construct a support vector machine SVM (by hand calculating it’s hyperparameters Wi and b) that computes the AND function. Use values +1 and -1 (instead of 1 and 0) for the target output, so that the four input points and the corresponding target outputs look like ([0, 0], -1); ([1, 0], -1); ([0, 1], - 1); and ([1, 1], 1]. Draw those four input points along with the decision boundary function (W*X +b) in the Euclidean space. What is the margin?. Check also the correctness of your SVM model with the test input points [1.5, 0.2] and [0.8, 02]. Please consult to AIMA 3rd Edition pp.744-748

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Construct a support vector machine SVM (by hand calculating it’s hyperparameters Wi and b) that computes the AND function. Use values +1 and -1 (instead of 1 and 0) for the target output, so that the four input points and the corresponding target outputs look like ([0, 0], -1); ([1, 0], -1); ([0, 1], - 1); and ([1, 1], 1]. Draw those four input points along with the decision boundary function (W*X +b) in the Euclidean space. What is the margin?. Check also the correctness of your SVM model with the test input points [1.5, 0.2] and [0.8, 02]. Please consult to AIMA 3rd Edition pp.744-748. 

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