Bayesian confirmation measures give numerical expression to the impact of evidence E on a hypothesis H. All measures proposed to date are formal-that is, functions of the probabilities Pr[see equation in text], Pr[see equation in text], Pr[see equation in text], Pr[see equation in text], and nothing more. Experiments reported in Tentori, Crupi, and Osherson (2007) suggest that human confirmatio...

In many computer vision classification and detection problems, the time to decision is no less important that the error rates. In the binary case, given the false positive and false negative rates, the optimal strategy minimizing the expected decision time is the Wald’s sequential probability ratio test (SPRT). Recently, Sochman and Matas proposed learning SPRT strategies from labeled examples ...