ON THE UBIQUITY OF THE BAYESIAN PARADIGM IN STATISTICAL MACHINE LEARNING AND DATA SCIENCE.
- Published in:
- Mathematics for Application, 2019, v. 8, n. 2, p. 189, doi. 10.13164/ma.2019.12
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- Publication type:
- Article
Works matching IS 18053610 AND DT 2019 AND VI 8 AND IP 2
Results: 7
1
2
AN EMPIRICAL DEMONSTRATION OF THE NO FREE LUNCH THEOREM.
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- Mathematics for Application, 2019, v. 8, n. 2, p. 173, doi. 10.13164/ma.2019.11
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- Publication type:
- Article
3
WHAT DO ASIAN AND NON-ASIAN SCRIPTURES HAVE IN COMMON? AN APPLIED STATISTICAL MACHINE LEARNING INQUIRY.
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- Mathematics for Application, 2019, v. 8, n. 2, p. 151, doi. 10.13164/ma.2019.10
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- Article
4
PREDICTION AND EVALUATION IN COLLEGE HOCKEY USING THE BRADLEY-TERRY-ZERMELO MODEL.
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- Mathematics for Application, 2019, v. 8, n. 2, p. 131, doi. 10.13164/ma.2019.09
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- Publication type:
- Article
5
MULTI-STAGE FAULT WARNING FOR LARGE ELECTRIC GRIDS USING ANOMALY DETECTION AND MACHINE LEARNING.
- Published in:
- Mathematics for Application, 2019, v. 8, n. 2, p. 115, doi. 10.13164/ma.2019.08
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- Publication type:
- Article
6
ON A GLOBAL MEASURE OF NONLINEARITY AND ITS APPLICATION IN PARAMETER ESTIMATION IN NONLINEAR REGRESSION.
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- Mathematics for Application, 2019, v. 8, n. 2, p. 101, doi. 10.13164/ma.2019.07
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- Publication type:
- Article
7
ON THE VERSATILITY AND POLYVALENCE OF CERTAIN STATISTICAL LEARNING MACHINES.
- Published in:
- Mathematics for Application, 2019, v. 8, n. 2, p. 97
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- Publication type:
- Article