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1 Question No: 03 This is a subjective question, hence you have to write your answer in the Text-Field given below. 2022da04296 a) The data points of a binary classification problem with two features and the class labels [+. - } are given below: (0, 2, +), (1.0, -). (-3.2, +), (0.4.-). (1. 5. +). (-1.-6.-), (5. 1. -), (0.4, +), (-2, 0, +), 001-2021 Derive the equation of the decision boundaries for positive and negative examples. Estimate the width of the decision boundary. 20 [2+2+2=6M] Calculator 190429 b) Consider a polynomial kernel K(U, V) that transforms a two-dimensional feature space U and V into higher order feature space using the function: K(U.V) = (U. V + 1)² Options 01-2022da04 a) Construct the function p function such that K(U, V) = 4(U). (V 107/01-2022020 23/b) Give the function & f b) Given the feature vectors X1(1, 1), and X2 (0, 1), compute their corresponding feature vectors in the new feature space applying the function (X) obtained above. como-2 19/01-2022dance by 296-85540-2023/10/01-2022da 1 Question No: 03 This is a subjective question, hence you have to write your answer in the Text-Field given below. 2022da04296 a) The data points of a binary classification problem with two features and the class labels [+. - } are given below: (0, 2, +), (1.0, -). (-3.2, +), (0.4.-). (1. 5. +). (-1.-6.-), (5. 1. -), (0.4, +), (-2, 0, +), 001-2021 Derive the equation of the decision boundaries for positive and negative examples. Estimate the width of the decision boundary. 20 [2+2+2=6M] Calculator 190429 b) Consider a polynomial kernel K(U, V) that transforms a two-dimensional feature space U and V into higher order feature space using the function: K(U.V) = (U. V + 1)² Options 01-2022da04 a) Construct the function p function such that K(U, V) = 4(U). (V 107/01-2022020 23/b) Give the function & f b) Given the feature vectors X1(1, 1), and X2 (0, 1), compute their corresponding feature vectors in the new feature space applying the function (X) obtained above. como-2 19/01-2022dance by 296-85540-2023/10/01-2022da
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Income Tax Fundamentals 2013
ISBN: 9781285586618
31st Edition
Authors: Gerald E. Whittenburg, Martha Altus Buller, Steven L Gill
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