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Que 3.16. Let blue, green, and red be three classes of objects with prior probabilities given by P(blue) = 1/4, P(green) = 1/2, P(red) = 1/4. Let there be three types of objects pencils, pens, and paper. Let the class-conditional probabilities of these objects be given as follows. Use Bayes classifier to classify pencil, pen and paper. P(pencil/green) = 1/3 P(pencil/blue) = 1/2 P(pencil/red) = 1/6 %3D %3D P(pen/green) = 1/2 P(pen/blue) = 1/6 P(pen/red) = 1/3 = 1/6 P(paper/green): P(paper/blue) = 1/3 %3D %3! P(paper/red): = 1/2 %3D

Que 3.16. Let blue, green, and red be three classes of objects with prior probabilities given by P(blue) = 1/4, P(green) = 1/2, P(red) = 1/4. Let there be three types of objects pencils, pens, and paper. Let the class-conditional probabilities of these objects be given as follows. Use Bayes classifier to classify pencil, pen and paper. P(pencil/green) = 1/3 P(pencil/blue) = 1/2 P(pencil/red) = 1/6 %3D %3D P(pen/green) = 1/2 P(pen/blue) = 1/6 P(pen/red) = 1/3 = 1/6 P(paper/green): P(paper/blue) = 1/3 %3D %3! P(paper/red): = 1/2 %3D

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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Que 3.16. Let blue, green, and red be three classes of objects with prior probabilities given by P(blue) = 1/4, P(green) = 1/2, P(red) = 1/4. Let there be three types of objects pencils, pens, and paper. Let the class-conditional probabilities of these objects be given as follows. Use Bayes classifier to classify pencil, pen and paper. P(pencil/green) = 1/3 P(pencil/blue) P(pencil/red) = 1/6 %3! %3D %3D P(pen/green) = 1/2 P(pen/blue) = 1/6 P(pen/red) = 1/3 P(paper/green) = 1/6 P(paper/blue) = 1/3 P(paper/red) = 1/2 %3D %3D = 1/2 %3D
Transcribed Image Text:Que 3.16. Let blue, green, and red be three classes of objects with prior probabilities given by P(blue) = 1/4, P(green) = 1/2, P(red) = 1/4. Let there be three types of objects pencils, pens, and paper. Let the class-conditional probabilities of these objects be given as follows. Use Bayes classifier to classify pencil, pen and paper. P(pencil/green) = 1/3 P(pencil/blue) P(pencil/red) = 1/6 %3! %3D %3D P(pen/green) = 1/2 P(pen/blue) = 1/6 P(pen/red) = 1/3 P(paper/green) = 1/6 P(paper/blue) = 1/3 P(paper/red) = 1/2 %3D %3D = 1/2 %3D
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