ON VARIATIONAL INFERENCE AND MAXIMUM LIKELIHOOD ESTIMATION WITH THE λ-EXPONENTIAL FAMILY.
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- Foundations of Data Science, 2024, v. 6, n. 1, p. 85, doi. 10.3934/fods.2024011
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- Article
Works matching IS 26398001 AND DT 2024 AND VI 6 AND IP 1
Results: 5
1
2
ALGEBRAIC MACHINE LEARNING WITH AN APPLICATION TO CHEMISTRY.
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- Foundations of Data Science, 2024, v. 6, n. 1, p. 62, doi. 10.3934/fods.2024004
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- Article
3
VECTOR SUMMARIES OF PERSISTENCE DIAGRAMS FOR PERMUTATION-BASED HYPOTHESIS TESTING.
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- Foundations of Data Science, 2024, v. 6, n. 1, p. 41, doi. 10.3934/fods.2024002
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- Article
4
DYNAMIC TOPOLOGICAL DATA ANALYSIS OF FUNCTIONAL HUMAN BRAIN NETWORKS.
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- Foundations of Data Science, 2024, v. 6, n. 1, p. 22, doi. 10.3934/fods.2023013
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- Article
5
DIAGNOSTIC OF THE LÉVY AREA FOR GEOPHYSICAL FLOW MODELS IN VIEW OF DEFINING HIGH ORDER STOCHASTIC DISCRETE-TIME SCHEMES.
- Published in:
- Foundations of Data Science, 2024, v. 6, n. 1, p. 1, doi. 10.3934/fods.2023011
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- Publication type:
- Article