Select the true statements from the following statements about support vector machines in the context of a two-class problem. (Select all that apply....

Select the true statements from the following statements about support vector machines in the context of a two-class problem. (Select all that apply.)

a) A support vector machine is constrained to have a linear decision boundary between the classes.

 b) The classifier for a support vector machine can be characterized as a linear combination of kernels, where the kernels are functions of the observation in question and each support vector.

c) A support vector machine that uses linear kernels is simply a support vector classifier.

 d) A support machine that uses polynomial or radial kernels leads to a more flexible, nonlinear decision boundary between the classes.