Forward propagation through Support Vector Machine classifier

Description

For a data structure NET, the matrix of vectors X is input into the Support Vector Machine described by NET and the matrix of outputs Y is computed. NET must have non-empty fields NET.sv, NET.svcoeff and NET.bias, these fields are set during training by SVMTRAIN. 

X must contain one input vector per row.

Y is a column vector with one entry for each input vector in X.

Y(i) is the SVM output for input vector X(i,:), it is
+1, if X(i,:) is classified as belonging to class 1
-1, if X(i,:) is classified as belonging to class -1

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