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You will need to implement at least two Matlab functions: HW3main.m and svmTrain.m. The implementation details are as follows:
function [alpha] = svmTrain(X,T,kernel,C,sigma)% alpha: a solution vector for SVM.% X: training input vectors.% T: training targets.% kernel: a type of kernel function, either linear, or rbf.% C: the margin parameter.% sigma: the rbf kernel parameter.
HW3main.m implements reading in the data files, calling svmTrain.m, pre- dicting and plotting.
Test your implementation using datasets provided at the class web site. In the datasets, the first two columns represent the input vector and the last column is for the class label.
log4x + logx=8
karl pearson''s
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This project carries 50% of your ?nal mark. Please hand in your work to the Mathematical and Physical Sciences School O?ce, no later than 4pm Monday 21st January 2013. Please ?l
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how can i model this eqn: solve n plot x vs v x^3-2x^2+x=v^2(.532*10^-3) by putting v=0 to 20 and find the change in x
Goal: Learn how to do statistics, sorting and curve fitting in Matlab. Put all of those ".m" files in a folder called yourname_lab7, and zip the folder and submit it on the class w
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