Boolean Function Evaluation Over a Sample

We consider the problem of minimizing expected prediction cost, when there are costs associated with determining attribute values. Given a Boolean hypothesis function and a sample of this function, we seek to minimize the average prediction cost over the sample (Sample-BFE problem). We define and explore two different versions of this problem and show how existing work can be used to yield approximation algorithms for k-of-n and CDNF formulas.