Abstract. We introduce an approach to both image labeling and unsupervised image partitioning as different instances of the multicut problem, together with an algorithm returning ...
Background: The main goal of the PROMISE repository is to enable reproducible, and thus verifiable or refutable research. Over time, plenty of data sets became available, especial...
Existing evaluations measures are insufficient when probabilistic classifiers are used for choosing objects to be included in a limited quota. This paper reviews performance measu...
Formal notations for system performance modeling need to be equipped with suitable notations for specifying performance measures. These companion notations have been traditionally...
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
There are several studies on the desirable properties that a performance measure for evolutionary multiobjective algorithms must have. One of these properties is called “compati...
An open problem in multiobjective optimization using the Pareto optimality criteria, is how to evaluate the performance of different evolutionary algorithms that solve multi– o...
In this paper, we address the issue of evaluating decision trees generated from training examples by a learning algorithm. We give a set of performance measures and show how some ...
Staffing and scheduling optimization in large multiskill call centers is time-consuming, mainly because it requires lengthy simulations to evaluate performance measures and their ...
This paper investigates the issue of PID-controller parameter tuning for a magnetic levitation system using the nondominated sorting genetic algorithm (NSGA-II). The magnetic levi...