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Assessing high-order effects in feature importance via predictability decomposition
| Title: | Assessing high-order effects in feature importance via predictability decomposition | Authors: | Ontivero, Ortega Marlis; Faes, Luca; Cortes, Jesus M; Marinazzo, Daniele; Stramaglia, Sebastiano | Issue Date: | 2025 | Publication: | PHYSICAL REVIEW E | ISSN: | 2470-0045 Physical Review E Search Idenfier |
Type: | Article | Collation: | vol. 111 br. 3 | DOI: | 10.1103/PhysRevE.111.L033301 | WoS-ID: | 001459107700006 | Scopus-ID: | 2-s2.0-105000140083 | URI: | https://enauka.gov.rs/handle/123456789/978070 | Project: | Computational Neuroscience and Physiology: An Information-Theoretic Framework," Italian Ministry of University - MUR PRIN 2022 [CUP: B53D23003020006] project "Higher-order complex systems modeling for personalized medicine," Italian Ministry of University - MUR [PRIN 2022PNRR, P2022JAYMH, CUP: H53D23009130001] |
Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | 21M21 |
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