Give the steps by steps answer **Given the test example \( x = 5 \), please answer the following questions:**a) Assume that the likelihood function of each category has certain parametric form. Specifically, we have \( p(x \mid \omega_1) \sim N(\mu_1, \sigma_1^2) \) and \( p(x \mid \omega_2) \sim N(\mu_2, \sigma_2^2) \). Which category should we decide on \( x \) when *maximum-likelihood estimation* is employed to make the prediction?b) Following the above assumption, suppose we further know that \( \sigma_1 = 2 \), ### Bayesian Estimation and Parzen WindowsGiven:- \( \sigma_2 = 1 \)- \( \mu_1 \sim N(0, 1) \)- \( \mu_2 \sim N(2, 1) \)#### Question 1:Which category should we decide on \( x \) when **Bayesian estimation** is employed to make the prediction?#### Question 2:Assume that the likelihood function of each category doesn't have any parametric form. Furthermore, the window function for either category takes the form of \( N(0, 1) \), while the window width for \( \omega_1 \) and \( \omega_2 \) is 2 and 5 respectively. Which category should we decide on \( x \) when **Parzen windows** is employed to make the prediction?

In the pattern recognition, various estimation and prediction techniques are employed to categorize…

Given the test example = 5, please answer the following questions: and a) Assume that the likelihood function of each category has certain paramétric form. Specifically, we have p(x/a₁)~ N(₁07) p(x₂)~ N(1₂,02). 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 o₁ = 2, 2

Given the test example = 5, please answer the following questions: and a) Assume that the likelihood function of each category has certain paramétric form. Specifically, we have p(x/a₁)~ N(₁07) p(x₂)~ N(1₂,02). 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 o₁ = 2, 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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