On the Efficient Allocation of Resources for Hypothesis Evaluation in Machine Learning: A Statistical Approach

摘要

In this report we consider a decision-making problem of selecting a strategy from a set of alternatives on the basis of incomplete information (e.g., a finite number of observations): the system can, however, gather additional information at some cost.