Multiple-Swarm Ensembles: Improving the Predictive Power and Robustness of Predictive Models and Its Use in Computational Biology
2018
Machine learningis an integral part of
computational biology, and has already shown its use in various applications, such as prognostic tests. In the last few years in the non-biological
machine learningcommunity,
ensemblingtechniques have shown their power in data mining competitions such as the Netflix challenge; however, such methods have not found wide use in
computational biology. In this work, we endeavor to show how
ensemblingtechniques can be applied to practical problems, including problems in the field of bioinformatics, and how they often outperform other
machine learningtechniques in both
predictive powerand robustness. Furthermore, we develop a methodology of
ensembling, Multi-Swarm
Ensemble(MSWE) by using multiple particle swarm optimizations and demonstrate its ability to further enhance the performance of
ensembles.
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