Ensembles of Learning Machines

By Giorgio Valentini, Francesco Masulli. Italian Workshop on Neural Nets, 2002

330 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Ensembles for unsupervised outlier detection: challenges and research questions a position paper (2014, methodology): “Using ensemble techniques to improve classification is based on a sound theory [16; 70; 10; 44; 62].”
Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination (2009, methodology): “was successfully used in a more traditional model by Wisnowski et al. (2003). The sensitivity measure is computationally expensive.”
Meta Net: A New Meta-Classifier Family (2013, background): “From an historical point of view, two fundamental styles of combining base classifiers are shown to be effective (Kuncheva 2004; Rokach 2009; Valentini and Masulli 2002; Ho 2001):”
Data-driven Soft Sensors in the process industry (2009, background): “Their derivation and theoretical justification can be found in Vapnik (1998). Application aspects of the SVM are discussed in Yan et al. (2004); Feng et al.”