[LO 5 & LO 6] 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.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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Please answer the questions in the picture correctly, and it is done by a team of bartleby experts. Please don't copy paste the answer from the website, because it was my previous question. Not purely answered by a bartlely team expert, but rather taking Chegg's answer. So, please don,t copy paste solution from website. Because many answers from websites are inaccurate, as well as from Chegg

 
[LO 5 & LO 6] 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.
Learning Outcomes:
LO 5: Apply various techniques to an agent when acting under
certainty
LO 6: Apply various AI algorithms to solve the problems
Transcribed Image Text:[LO 5 & LO 6] 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. Learning Outcomes: LO 5: Apply various techniques to an agent when acting under certainty LO 6: Apply various AI algorithms to solve the problems
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