Tag : Random

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Dynamics of random recurrent networks with correlated low-rank structure

Newsemia
Schuessler, F; Dubreuil, A; Mastrogiuseppe, F; Ostojic, S; Barak, O; (2019) Dynamics of random recurrent networks with correlated low-rank structure. Physical Review Research , 2...
AI/ML

A multicenter random forest model for effective prognosis prediction in collaborative clinical research network.

Newsemia
Related Articles A multicenter random forest model for effective prognosis prediction in collaborative clinical research network. Artif Intell Med. 2020 Mar;103:101814 Authors: Li J, Tian...
AI/ML

Prediction of caregiver burden in amyotrophic lateral sclerosis: a machine learning approach using random forests applied to a cohort study.

Newsemia
Related Articles Prediction of caregiver burden in amyotrophic lateral sclerosis: a machine learning approach using random forests applied to a cohort study. BMJ Open. 2020...
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Species conservation profiles of a random sample of world spiders III: Oecobiidae to Salticidae

Newsemia
Seppälä, S; Henriques, S; Draney, ML; Foord, S; Gibbons, AT; Gomez, LA; Kariko, S; … Cardoso, P; + view all Seppälä, S; Henriques, S; Draney,...
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Sparse principal component analysis via axis-aligned random projections

Newsemia
Gataric, M; Wang, T; Samworth, RJ; (2020) Sparse principal component analysis via axis-aligned random projections. (In press). Source link...
AI/ML

Adversarially Learned Total Variability Embedding for Speaker Recognition with Random Digit Strings.

Newsemia
Related Articles Adversarially Learned Total Variability Embedding for Speaker Recognition with Random Digit Strings. Sensors (Basel). 2019 Oct 30;19(21): Authors: Kang WH, Kim NS Abstract...
AI/ML

Development of a classifier to identify patients with probable Lennox-Gastaut syndrome in health insurance claims databases via random forest methodology.

Newsemia
Related Articles Development of a classifier to identify patients with probable Lennox-Gastaut syndrome in health insurance claims databases via random forest methodology. Curr Med Res...

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