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Computer Engineering
You are given the following data: vocabulary V = {w1, w2, w3} and the bigram probability distribution p on V × V given by: p(w1, w1) = 1/4 p(w3, w3) = 1/8 p(w2, w2) = 0, p(w2, w1) = 1/4, p(w1, w3) = 1/4, p(w1, *) = 1/2 (that is w1 as the first of a pair), p(*, w2) = 1 /8 .

You are given the following data: vocabulary V = {w1, w2, w3} and the bigram probability distribution p on V × V given by: p(w1, w1) = 1/4 p(w3, w3) = 1/8 p(w2, w2) = 0, p(w2, w1) = 1/4, p(w1, w3) = 1/4, p(w1, *) = 1/2 (that is w1 as the first of a pair), p(*, w2) = 1 /8 .

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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You are given the following data:

vocabulary V = {w1, w2, w3} and the bigram probability distribution p on V × V given by:

p(w1, w1) = 1/4

p(w3, w3) = 1/8

p(w2, w2) = 0,

p(w2, w1) = 1/4,

p(w1, w3) = 1/4,

p(w1, *) = 1/2 (that is w1 as the first of a pair),

p(*, w2) = 1 /8 .

 

Calculate p(w1, w2) and p(w2 | w3) using Markov's rule

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