SUMMA: A novel Unsupervised Ensemble Learning Algorithm

Recently, our paper on a new ensemble learning algorithm has been published in the Journal of Machine Learning Research (JMLR). In the paper, we propose an unsupervised ensemble learning algorithm, which we denote as SUMMA. The aim of ensemble learning is to combine multiple predictions to come up with a more robust predictors, i.e. similar to asking a question to many experts and coming up with the wisdom of the experts. With the availability of new algorithms almost every day and the heterogeneity of the data, it might be a wise approach to base our predictions not on a single algorithm but rather on an ensemble of algorithms. SUMMA achieves this in an unsupervised way. More details can be found here .