Randomness and learning in networks

Informazioni relative al progetto

RandNET

ID dell’accordo di sovvenzione: 101007705

DOI

10.3030/101007705

Progetto chiuso

Data della firma CE 27 Novembre 2020

Data di avvio 1 Gennaio 2021

Data di completamento 30 Aprile 2026

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale

€ 846 400,00

Contributo UE

€ 662 400,00

Coordinato da

UNIVERSITAT POLITECNICA DE CATALUNYA
Spain

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (9)

1st and 2nd Report on tasks associated to WP3

2nd Report on tasks associated to WP3: secondments, publications, conferences

Documented code of Algorithms for the production of learning datasets
Technical report on Theoretical analysis of learning datasets.
Report on scientific contents of on-line lectures.

Report with detailed scientific contents of on-line lectures.

3rd and 4th Report on tasks associated to WP1

Report on tasks associated to WP1: Secondments, publications conferences

1st and 2nd Report on tasks associated to WP2

Report on tasks associated to WP2: secondments, publications, conferences

3rd and 4th Report on tasks associated to WP2

Report on tasks associated to WP2: secondments, publications, conferences

3rd and 4rt Report on tasks associated to WP3

4th Report on tasks associated to WP3: secondments, publications, conferences

1st and 2nd Report on tasks associated to WP1

Report on tasks associated to WP1: Secondments, publications conferences

Websites, patent fillings, videos etc. (1)

High-quality videos with the on-line lectures

Pubblicazioni

Other (5)

Subtractive random forests

Autori: Nicolas Broutin, Luc Devroye, Gabor Lugosi, Roberto Imbuzeiro Oliveira
Pubblicato in: 2022
Editore: Arxiv Preprint Server
DOI: 10.48550/arxiv.2210.10544

On the quality of randomized approximations of Tukey's depth

Autori: Simon Briend, Gábor Lugosi, Roberto Imbuzeiro Oliveira
Pubblicato in: 2023
Editore: Arxiv Preprint server
DOI: 10.48550/arxiv.2309.05657

Uniform attachment with freezing

Autori: Étienne Bellin, Arthur Blanc-Renaudie, Emmanuel Kammerer, Igor Kortchemski
Pubblicato in: 2023
Editore: Arxiv Preprint server
DOI: 10.48550/arxiv.2308.00493

Active clustering for labeling training data

Autori: Quentin Lutz, Élie de Panafieu, Alex Scott, Maya Stein
Pubblicato in: 2021
Editore: Arxiv Preprint Server
DOI: 10.48550/arxiv.2110.14521

Uniform attachment with freezing: Scaling limits

Autori: Étienne Bellin, Arthur Blanc-Renaudie, Emmanuel Kammerer, Igor Kortchemski
Pubblicato in: 2023
Editore: Arxiv Preprint Server
DOI: 10.48550/arxiv.2308.00484