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Mise en abyme with Artificial Intelligence: How to Predict the Accuracy of NN, Applied to Hyper-parameter Tuning

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Year: 2019
Type: conference-paper
Source: Proceedings of the international neural networks society
DOI: 10.1007/978-3-030-16841-4_30
Authors: Giorgia Franchini, Mathilde Galinier, Micaela Verucchi
Institutions: University of Modena and Reggio Emilia, Istituto Nazionale di Alta Matematica Francesco Severi
Language: English

Topic: Machine Learning and Data Classification
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences

Open Access status: green

Funders: Istituto Nazionale di Alta Matematica "Francesco Severi", European Commission, Gruppo Nazionale per il Calcolo Scientifico, HORIZON EUROPE Marie Sklodowska-Curie Actions
Awards: Edge and CLoud Computation: A Highly Distributed Software Architecture for Big Data AnalyticS, G3448723622, INdAM Doctoral Programme in Mathematics and/or applications cofunded by Marie Sklodowska-Curie actions, G7907027657
OpenAlex ID: W2943539461
FWCI: 0.084
Cites: 14
Cited by: 1
Related to: 10
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