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Discovering Higher-Order Interactions Through Neural Information Decomposition
If regularity in data takes the form of higher-order functions among groups of variables, models which are biased towards lower-order functions may easily mistake the data for noise. To distinguish whether this is the case, one must be able to quantify the contribution of different orders of depende...
Kaydedildi:
| Yayımlandı: | Entropy (Basel) |
|---|---|
| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI
2021
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7827712/ https://ncbi.nlm.nih.gov/pubmed/33430463 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e23010079 |
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