Consider minimizing the above objective fuction for the following numerical example: A = 0.5, y = 1, x = H Ô Note that this is a classification problem where points lie on a two dimensional space. Hence would be a two dimensional vector. Let Ô = - [61, 62 ], where 61, 62 are the first and second components of respectively. Solve for 01, 02- Hint: For the above example, show that Lossh (y (Ô · x)) ≤ 0 6₁ = 6₂ =
Consider minimizing the above objective fuction for the following numerical example: A = 0.5, y = 1, x = H Ô Note that this is a classification problem where points lie on a two dimensional space. Hence would be a two dimensional vector. Let Ô = - [61, 62 ], where 61, 62 are the first and second components of respectively. Solve for 01, 02- Hint: For the above example, show that Lossh (y (Ô · x)) ≤ 0 6₁ = 6₂ =
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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![Consider minimizing the above objective fuction for the following numerical example:
X = 0.5, y = 1, x =
Note that this is a classification problem where points lie on a two dimensional space. Hence would be a two dimensional
vector.
Let Ô = [61, 62], where 01,02 are the first and second components of respectively.
Solve for 01, 02.
Hint: For the above example, show that Loss, (y (Ô • x)) ≤ 0
6₁
=
6₂ =](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd800cc52-968c-4fc9-8aa1-b98fbb152260%2F7977d8b3-a182-4d03-a922-ad4f62a1361a%2Fwsu9ht_processed.png&w=3840&q=75)
Transcribed Image Text:Consider minimizing the above objective fuction for the following numerical example:
X = 0.5, y = 1, x =
Note that this is a classification problem where points lie on a two dimensional space. Hence would be a two dimensional
vector.
Let Ô = [61, 62], where 01,02 are the first and second components of respectively.
Solve for 01, 02.
Hint: For the above example, show that Loss, (y (Ô • x)) ≤ 0
6₁
=
6₂ =
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