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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.
Function Functions: The one reason for using function handles is to be able to pass functions to the other functions-these are known as function functions. For illustration
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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) %
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Illustration of a built-in function: The length function is an illustration of a built-in function which computes a single value; it returns the length of a vector. As an illu
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