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Unformatted text preview: tions to derive what data
cases (e.g. in the figure above) will have α i > 0 (support vectors) and which ones will have µi > 0 . 4. Derive the dual Lagrangian and specify the dual optimization problem. €
Kernelize the problem, i.e. write the dual program only in terms of kernel entries €
and Lagrange multipliers. 6. The dual program will return optimal values for {α i } . In terms of these, compute the optimal values for the other dual variables {µi } . Then, solve the primal variables {a, ξ, R} (in that order) in terms of the dual variables {µi , α i } . Note that you do not need...
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This note was uploaded on 01/21/2014 for the course CS 273a taught by Professor Alexihler during the Fall '12 term at UC Irvine.
 Fall '12
 AlexIhler
 Machine Learning

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