Fast Construction of Correcting Ensembles for Legacy Artificial Intelligence Systems: Algorithms and a Case Study

Information Sciences, pp. 230-247, 2019.

Cited by: 6|Bibtex|Views10|DOI:https://doi.org/10.1016/j.ins.2018.11.057
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org|www.sciencedirect.com

Abstract:

This paper presents a new approach for constructing simple and computationally efficient improvements of generic Artificial Intelligence (AI) systems, including Multilayer and Deep Learning neural networks. The improvements are small network ensembles added to the existing AI architectures. Theoretical foundations of the approach are base...More

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