Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
This paper presents four rotatable multi-objective test problems that are designed for testing EMO (Evolutionary Multiobjective Optimization) algorithms on their ability in dealin...
Introductory computer science classes are known for having a high attrition rate. Some authors believe this is due to studentsā difficulties in establishing a mental model of co...
In this paper, a language model adapted to graph-based representation of image content is proposed and assessed. The full indexing and retrieval processes are evaluated on two diļ...
It has been observed that precision increases with collection size. One explanation could be that the redundancy of information increases, making it easier to ļ¬nd multiple docum...