EE210A: Adaptation and Learning
Prof. Ali H. Sayed
Winter 2016
Mar. 7, 2016
Solutions to Homework 4
1. Problem:
Solution: The probability of selecting a feature vector at random one class and assigning it correctly
to its truth class is:
Pr(correct assign
EE210A: Adaptation and Learning
Prof. Ali H. Sayed
EE210AA
ADAPTA
ATIONAN
NDLEAR
RNING
Winter 2016
Mar. 6, 2016
HW
W#5(Due
9,2016
SolutionseMarch
to Homework
5 )
1. Problem:
Solution: The following figure shows that the XOR and XNOR cannot be learned by t
EE210A: Adaptation and Learning
Prof. Ali H. Sayed
Winter 2016
Feb. 1, 2016
Solutions to Homework 3
1. Problem: Consider an adaptive filter with an M dimensional regression vector un whose entries
are realizations of a binary random variable, i.e., they a
EE210A: Adaptation and Learning
Prof. Ali H. Sayed
Winter 2016
Feb. 1, 2016
Solutions to Homework 2
1. Problem:
Solution:
EE210A Winter 2015
1 of 11
2. Problem:
EE210A Winter 2015
2 of 11
Solution:
3. Problem:
Solution:
4. Let W denote an M M square inver
EE210A: Adaptation and Learning
Prof. Ali H. Sayed
Winter 2016
Jan. 25, 2016
Solutions to Homework 1
1. A random variable x1 assumes the value +1 with probability p and the value 1 with probability
1 p. A random variable x2 is distributed as follows:
(
+2
EE210A: Adaptation and Learning
Winter 2017
Prof. Ali H. Sayed
January 9, 2017
_
WHEN AND WHERE: MW 2:00-3:50PM, Geology 3656.
INSTRUCTOR: Prof. Ali H. Sayed, Office: EIV Rm. 58-111, Ph. x7-2142, Email: [email protected]
OFFICE HOURS: MW 12:30-13:30PM, EI