Yes, please keep me updated if you get the chance. I could imagine that the real strength of the kernel logistic regression lies in cases where classification tasks are non-linear and an appropriate kernel function is used. The traditional logistic regression on the other hand might outperform in the linear case and is definitely better suited if real probabilities are necessary. But maybe I am completely wrong
Don't forget to optimize at least C since without it the kernel logistic regression is not likely to produce good results anyway...