“Ensemble learning: A survey” (2018), by Omer Sagi et al. Computer Science research paper. Original abstract below, unchanged. No free PDF was found.

Ensemble learning: A survey

Omer Sagi, Lior Rokach · February 27, 2018 · Computer Science

Abstract

Ensemble methods are considered the state‐of‐the art solution for many machine learning challenges. Such methods improve the predictive performance of a single model by training multiple models and combining their predictions. This paper introduce the concept of ensemble learning, reviews traditional, novel and state‐of‐the‐art ensemble methods and discusses current challenges and trends in the field. This article is categorized under: Algorithmic Development > Ensemble Methods Technologies > Machine Learning Technologies > Classification

Source page DOI: 10.1002/widm.1249