On the Efficient Allocation of Resources for Hypothesis Evaluation in Machine Learning: A Statistical Approach
Steve Chien, Jonathan S. Gratch, Michael C. Burl · NASA Technical Reports Server (NASA) · 1994
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.