NORMALIZATION EFFECTS ON DEEP NEURAL NETWORKS.
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- Foundations of Data Science, 2023, v. 5, n. 3, p. 389, doi. 10.3934/fods.2023004
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- Article
Works matching IS 26398001 AND DT 2023 AND VI 5 AND IP 3
Results: 5
1
2
HIERARCHICAL ENSEMBLE KALMAN METHODS WITH SPARSITY-PROMOTING GENERALIZED GAMMA HYPERPRIORS.
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- Foundations of Data Science, 2023, v. 5, n. 3, p. 366, doi. 10.3934/fods.2023003
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- Publication type:
- Article
3
UNSUPERVISED LEARNING OF OBSERVATION FUNCTIONS IN STATE SPACE MODELS BY NONPARAMETRIC MOMENT METHODS.
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- Foundations of Data Science, 2023, v. 5, n. 3, p. 340, doi. 10.3934/fods.2023002
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- Publication type:
- Article
4
WEIGHT SET DECOMPOSITION FOR WEIGHTED RANK AND RATING AGGREGATION: AN INTERPRETABLE AND VISUAL DECISION SUPPORT TOOL.
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- Foundations of Data Science, 2023, v. 5, n. 3, p. 321, doi. 10.3934/fods.2023001
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- Publication type:
- Article
5
STEIN VARIATIONAL GRADIENT DESCENT: MANY-PARTICLE AND LONG-TIME ASYMPTOTICS.
- Published in:
- Foundations of Data Science, 2023, v. 5, n. 3, p. 286, doi. 10.3934/fods.2022023
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- Publication type:
- Article