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Old 01-14-2013, 07:48 PM
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yaser yaser is offline
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Join Date: Aug 2009
Location: Pasadena, California, USA
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Default Re: PLA - Need Guidance

Quote:
Originally Posted by legolas_sid View Post
Hi all,
it would be great if any of you could tell me if my understanding of this algorithm is correct.

1)pick a target function(f)(i.e a line in the [-1,1] * [-1,1] plane)

2)generate a set of training examples of the form ((x_d,y_d),output)

(I am confused from this point onwards,please correct me if I am wrong )

3)we initially set H as a vector of 0.0s

4)apply the perceptron iteration till the h function 'linearly seperates' all the data points.(we call this g).

5)test this g on a set of new data points (test_data,f(test_data)).

6)compare this with h and calculate error probability.
You are correct, with step 3 put more accurately as "we start with h\in{\cal H} that corresponds to a weight vector of 0's." In step 1, the problem specifies a particular way of picking the random line that will define the target function.
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