3 papers
stat.ML2020
How to Control the Error Rates of Binary Classifiers
Miloš Simić
The traditional binary classification framework constructs classifiers which may have good accuracy, but whose false positive and false negative error rates are not under users' co…
stat.ML2020
Testing for Normality with Neural Networks
Miloš Simić
In this paper, we treat the problem of testing for normality as a binary classification problem and construct a feedforward neural network that can successfully detect normal distr…
cs.AI2019
How to Estimate the Ability of a Metaheuristic Algorithm to Guide Heuristics During Optimization
Miloš Simić
Metaheuristics are general methods that guide application of concrete heuristic(s) to problems that are too hard to solve using exact algorithms. However, even though a growing bod…