@inbook{ff2bf3ffe10e4658ba268507bfe3a6ba,
title = "The Simplification Conspiracy",
abstract = "We study in a quantitative way the efficacy of a social intelligence scheme that is an extension of Extreme Learning Machine paradigm. The key question we investigate is whether and how a collection of elementary learning parcels can replace a single algorithm that is well suited to learn a relatively complex function. Per se, the question is definitely not new, as it can be met in various fields ranging from social networks to bio-informatics. We use a well known benchmark as a touchstone to contribute its answer with both theoretical and numerical considerations.",
keywords = "ensemble learning, Learning by gossip, learning optimal kernels, subsymbolic kernels",
author = "Bruno Apolloni and Shehhi, {Aamna Al} and Ernesto Damiani",
note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.",
year = "2021",
doi = "10.1007/978-981-15-5093-5_2",
language = "British English",
series = "Smart Innovation, Systems and Technologies",
publisher = "Springer",
pages = "11--23",
booktitle = "Smart Innovation, Systems and Technologies",
address = "Germany",
}