Solving Least Squares Problems with Gradient Descent the Least Mean Square Algorithm
Quiz Summary
0 of 4 Questions completed
Questions:
Information
You have already completed the quiz before. Hence you can not start it again.
Quiz is loading…
You must sign in or sign up to start the quiz.
You must first complete the following:
Results
Results
0 of 4 Questions answered correctly
Your time:
Time has elapsed
You have reached 0 of 0 point(s), (0)
Earned Point(s): 0 of 0, (0)
0 Essay(s) Pending (Possible Point(s): 0)
Categories
 Not categorized 0%
 1
 2
 3
 4
 Current
 Review
 Answered
 Correct
 Incorrect

Question 1 of 4
1. Question
Which of the following are disadvantages of directly computing the solution to the MMSE filtering or least squares problem using ? Assume the dimension of is and that data samples are available. Select all that apply.
CorrectIncorrect 
Question 2 of 4
2. Question
The LMS algorithm updates the current estimate of the weights with a step in a direction given by the negative gradient of the instantaneous squared error .
CorrectIncorrect 
Question 3 of 4
3. Question
The instantaneous gradient used in the LMS algorithm is the same as the gradient of the MSE.
CorrectIncorrect 
Question 4 of 4
4. Question
Define the error as . Which of the following is the gradient of ?
CorrectIncorrect