LEAP is a general purpose Evolutionary Computation package that combines readable and easy-to-use syntax for search and optimization algorithms with powerful distribution and visualization features.

Abstract: Today, making decisions in multi-parameter contexts requires long computational times and increasingly powerful computers. In addition, we are often interested not only in the final decision ...

Abstract: Students’ academic performance prediction has been a significant area of research in educational data mining, in which machine learning (ML) techniques are used to examine data from ...

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning ...