mp1 - Machine Program 1 Due October 29th by midnight via...

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Machine Program 1 Due October 29 th by midnight via e-mail Read the instructions carefully and clarify your doubts if you have any. For this assignment you will implement a Perceptron using the Widrow-Hoff delta rule and epoch-based learning. Your program should be able to process training sets with arbitrary number of examples and dimensions. The training set will be read from the standard input. Each training set will be formatted in the following way: • In the first line a single integer “n” represents the dimensions (number of features) of the classification problem we want to solve. • The second line contains one single integer “m” representing the number of examples we want to classify. • Next will come m examples, each one represented throughout n+1 lines. The first n lines of each example contain a single floating point number each, representing the value for that feature. The last line contains either 0 or 1, representing the label for that example.
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This note was uploaded on 04/30/2011 for the course ECE 448 taught by Professor Levinson during the Spring '08 term at University of Illinois, Urbana Champaign.

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mp1 - Machine Program 1 Due October 29th by midnight via...

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