Chapter 1  Problem 1.3
I am a bit stuck on part b. I am not sure how to start. Could anyone give a nudge in the right direction?

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Re: Chapter 1  Problem 1.3
Can you please do the proof for this problem, I can answer the question conceptually but mathematically I'm having a little trouble starting my argument for both part a and part b please :bow:

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http://www.csie.ntu.edu.tw/~htlin/co...02_handout.pdf 
Re: Chapter 1  Problem 1.3
Hi I can solve the problem but I cannot understand how does this show that the perceptron algorithm will converge. Can somone explains to me what does the proof shows? I mean what does each step of the problems mean? Thanks

Re: Chapter 1  Problem 1.3
Despite the slides I still have difficulty reading the equations.
In my PLA program weights are updated by "the difference between the 'target function line' and x2" for a misclassified example from a 2dimensional space. Example target function line: 2 + 3x. If x1 = 3 en x2 = 9, y = 9 (2+3*3) = 2 If misclassified the weights would be updated like: wt+1 = wt + x1 * 2 The method above maybe omits advantages of vector computation(?) as seen in the slides, but I was happy the simulation worked at all:) The theoretic approach of this course seems more useful in the long term than 'simply learning to type methods', but for me is new and challenging. So my questions are:  is p a random symbol? I can't find it in the overview.  does min1 < n < N stand for the sum of function (x) in range N?  is yn the positive or negative difference between the target line and coordinate x2 (staying with the 2dimensional graphical model)?  I understand a little simple linear algebra for linear regression. Are vector computations making the understanding of this PLA equation easier? Thanks in advance! 
Re: Chapter 1  Problem 1.3
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Hi, I am stuck at the part (e). I have two questions:
1  Is R' a typo? If R' is R then: 2  Refer to (b), I observe that: http://book.caltech.edu/bookforum/at...1&d=1458721054 Refer to (c), I observe that: http://book.caltech.edu/bookforum/at...1&d=1458720991 But I think that http://book.caltech.edu/bookforum/at...1&d=1458721179 happens only when t <= 1? Am I mistaken somewhere? 
Re: Chapter 1  Problem 1.3
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2. (c) works well for t>=0. Do not refer from (b) to (c). Try to refer to the previously proven inequality (so, from (c) to (b)). 
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