dont reject the questions give the steps by steps Given the test example x = 5, please answer the following questions:a) Assume that the likelihood function of each category has certain parametricandform. Specifically, wehavep(rar)~ N(₁,07)p(x₂)~ N(₂, 2). Which category should we decide on whenmaximum-likelihood estimation is employed to make the prediction?b) Following the above assumption, suppose we further know that o1 = 2, 0₂=1, 4₁ ~ N(0, 1) and 2~ N(2, 1). Which category should we decideon a when Bayesian estimation is employed to make the prediction?c) Assume that the likelihood function of each category doesn't have anyparametric form. Furthermore, the window function for either category takesthe form of N(0, 1), while the window width for ₁ and u is 2 and 5respectively. Which category should we decide on x when Parzen windowsis employed to make the prediction?

In the statistical classification and pattern recognition, various estimation and prediction…

a) Assume that the likelihood function of each category has certain parametric form. Specifically, we have P(xwi)N, 07) and p(x₂)~ N(₂, 2). Which category should we decide on when maximum-likelihood estimation is employed to make the prediction? b) Following the above assumption, suppose we further know that σ₁ = 2,

a) Assume that the likelihood function of each category has certain parametric form. Specifically, we have P(xwi)N, 07) and p(x₂)~ N(₂, 2). Which category should we decide on when maximum-likelihood estimation is employed to make the prediction? b) Following the above assumption, suppose we further know that σ₁ = 2,

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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