Discrete Probability Models (2008)

 

 

Throughout these lecture notes, we will be discussing both “classical” probability examples involving coins, cards and dice, and also examples involving applications to computer science. The latter will involve diverse fields such as data mining, machine learning, computer networks, software engineering and bioinformatics. In this section, an example from computer networks is presented which will be used at a number of points in this unit. Probability analysis is used extensively in the development of new, faster types of networks. Today’s Ethernet evolved from an experimental network developed at the University of Hawaii, called ALOHA. A number of network nodes would occasionally try to use the same radio channel to communicate with a central computer. The nodes couldn’t hear each other, due to the obstruction of mountains between them. [via]
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Discrete Probability Models

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