Using Adaboost for binary classification

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Hi Guys - Have another question regarding AdaBoost algorithm. I have a binary classification problem with 20 predictor variables and 2 classifications (1 & -1). I know that that the predictor variables are non-linear so I would like split each one into (say) quartiles.
I still want the final outcome to produce a coefficient at the predictor level. So ultimately I would have an input value consisting of the predictor variable and it's quartile, and I would use both to estimate the classification.
Can you advise how I would go about this?
Thanks for help Dan

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