Construct a support vector machine that computes the kernel function-.pdf
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The document describes the construction of a support vector machine (SVM) that calculates the kernel function using four input-output pairs: [1, 1] (negative), [1, +1] (positive), [+1, 1] (positive), and [+1, +1] (negative). It involves mapping the inputs into a new space defined by x1 and x1x2, plotting the input points, and identifying the maximum margin separator. The document also inquires about the value of the margin.
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![Construct a support vector machine that computes the kernel function. Use
four values of +1 and -1 for both inputs and outputs:
[1, 1] (negative)
[1, +1] (positive)
[+1, 1] (positive)
[+1, +1] (negative).
Map the input [x1, x2] into a space consisting of x1 and x1x2. Draw the four input points in this
space, and the maximal margin separator. What is the margin?](https://image.slidesharecdn.com/constructasupportvectormachinethatcomputesthekernelfunction-230310103921-d2409f78/85/Construct-a-support-vector-machine-that-computes-the-kernel-function-pdf-1-320.jpg)
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Construct a support vector machine that computes the kernel function-.pdf
- 1. Construct a support vector machine that computes the kernel function. Use four values of +1 and -1 for both inputs and outputs: [1, 1] (negative) [1, +1] (positive) [+1, 1] (positive) [+1, +1] (negative). Map the input [x1, x2] into a space consisting of x1 and x1x2. Draw the four input points in this space, and the maximal margin separator. What is the margin?