The question is detailled and explained in the picture attached 3. Suppose we have four training examples under the two-category case, i.e.D* = {(x;, wi) | 1 ≤ i ≤ 4} where x₁ = (1, 2), x₂=(2, 2)*, x3 = (1, 1)²,x₁ = (2,0) and w₁ = W₂ = -1₁ W3 = ₁ = 1. Furthermore, linear discriminantfunction g(x) = w²x+b is adopted to learn from the training examples and thecriterion function to be minimized is set as J(w, b) = -₁₁ · g(xi).Given the initial model wo = (-2,2)' and bo = -3. If gradient descenttechniques are utilized to minimize the criterion function, what is the resultingdiscriminant function after three gradient descent steps with learning rate n = 0.1and threshold € = = 10-67

In this scenario, tasked with employing gradient descent techniques to minimize a criterion function…

3. Suppose we have four training examples under the two-category case, i.e. D* = {(x₁,w₁) |1 ≤ i ≤ 4} where x₁ = (1, 2), x₂ = (2, 2), x3 = (1, 1)¹, x₁ = (2,0) and w₁ = 62 = -1, W3 = w₁ = 1. Furthermore, linear discriminant function g(x) = wx+b is adopted to learn from the training examples and the -5²,Wi. · g(x₁). criterion function to be minimized is set as (w. b) 11

3. Suppose we have four training examples under the two-category case, i.e. D* = {(x₁,w₁) |1 ≤ i ≤ 4} where x₁ = (1, 2), x₂ = (2, 2), x3 = (1, 1)¹, x₁ = (2,0) and w₁ = 62 = -1, W3 = w₁ = 1. Furthermore, linear discriminant function g(x) = wx+b is adopted to learn from the training examples and the -5²,Wi. · g(x₁). criterion function to be minimized is set as (w. b) 11

Operations Research : Applications and Algorithms

4th Edition

ISBN:9780534380588

Author:Wayne L. Winston

Publisher:Wayne L. Winston

Chapter24: Forecasting Models

Section: Chapter Questions

Problem 10RP

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