Reviews: Threshold Learning for Optimal Decision Making

Neural Information Processing Systems 

Technical quality: This paper focuses on estimating a decision threshold - the problem which is not sufficiently studied in this community. Two existing algorithms are used to estimate the threshold and their performances are compared against each other. The paper is interesting and technically sound. Novelty: The idea of estimating the threshold has some novel contribution to the computational psychology society. However, the algorithms used in this paper are not novel because the author uses these algorithm without much modifications based on the previous work [5],[6] & [7].