Logistic Regression and Dual Form

Hi. Is there a form of Logistic Regression where the algorithm finds
weights in a dual form? By this I mean that the weights are not
represented by one free parameter per attribute, but by one free
parameter per training instance. Books on Support Vector Machines cover
the dual form of Rosenblatt's perceptron. Since Rosenblatt's perceptron
can be used as a linear classifier, I would guess that the dual form
could be adapted for linear regression, but am not sure how. Any
pointers?

Cheers,

Ross-c

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