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The probailty of a woker classifying an Image correctly as a cat is >= 0.6 and incorrectly is <= 0.4. The minmum number of workers to classify an Image correctly as a 'Cat' with 0.99% confidence is 250. This is the case for one image, suppose there are 'n' amount of images what would be the minimumn number workers required to classify

The probailty of a woker classifying an Image correctly as a cat is >= 0.6 and incorrectly is <= 0.4. The minmum number of workers to classify an Image correctly as a 'Cat' with 0.99% confidence is 250. This is the case for one image, suppose there are 'n' amount of images what would be the minimumn number workers required to classify

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The probailty of a woker classifying an Image correctly as a cat is >= 0.6 and incorrectly is <= 0.4. The minmum number of workers to classify an Image correctly as a 'Cat' with 0.99% confidence is 250. This is the case for one image, suppose there are 'n' amount of images what would be the minimum number workers required to classify the 'n' number of images correctly with the same 0.99% confidence. Note:- Use union bound or Boole's inequality to solve.
Transcribed Image Text:The probailty of a woker classifying an Image correctly as a cat is >= 0.6 and incorrectly is <= 0.4. The minmum number of workers to classify an Image correctly as a 'Cat' with 0.99% confidence is 250. This is the case for one image, suppose there are 'n' amount of images what would be the minimum number workers required to classify the 'n' number of images correctly with the same 0.99% confidence. Note:- Use union bound or Boole's inequality to solve.
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