[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

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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Please answer clearly, don't just answer!!!! I've asked Bartlely 4 times and got an inaccurate solution!!! PLEASE READ
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Transcribed Image Text:Given ) Set of lata Points with class (E1,1) Incorrect solution, please dont solve same with this -1 Saln :- The mula fur w ond b 4 given below 0.75 -e5 - 0:5 メx]- -) -15 Pa coliction for data Points ,50.2 $ C0.8,0.2] CS Scânnedwwith Meny -1 CamScanner
[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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