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SUNY Buffalo State College CSE 474 ML final16-REVIEWED BY EXPERTS-ALL ANSWERS CORRECT

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Final Examination CSE 474/574: Introduction to Machine Learning (Instructor: Sargur Srihari) 7:15 PM - 10:15 PM Hoch 114 Wednesday, December 14, 2016 No. Topic Points 1 Linear Regression 30 2 L ... inear Classification 20 3 Logistic Regression 20 4 Neural Networks 30 Total 100 The total time to complete is 180 minutes. The questions are multiple choice. Some questions have multiple correct answers. Please use the mark-sense sheet to fill-in your answers. 11 Linear Regression 1. In linear regression we use a model of the form y(x, w) = wTφ(x) where x = (x1, .., xD) is an input vector, w = (w0, .., wM−1) is a vector of weights, and φ = (φ0, .., φM−1) is a set of basis functions of the form φj(x). It is called linear regression because we use linear functions of x. A) True B) False [Show More]

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