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Conference

Improving Universal Multifractal parameter estimation for large data sets, a case study in the Greater Paris

Authors : Skouri-Plakali, I; Gires, Auguste; Tchiguirinskaia, I. ...

Subjects: [SDE]Environmental SciencesVienne; Austria

Source: European Geosciences Union ; https://hal.science/hal-02102486 ; European Geosciences Union, Apr 2019, Vienne, Austria

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Conference

Improving Universal Multifractal parameter estimation for large data sets, a case study in the Greater Paris

Authors : Skouri-Plakali, I; Gires, Auguste; Tchiguirinskaia, I. ...

Subjects: [SDE]Environmental SciencesVienne; Austria

Source: European Geosciences Union ; https://hal.archives-ouvertes.fr/hal-02102486 ; European Geosciences Union, Apr 2019, Vienne, Austria

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Conference

Emerging Approaches to Managing and Analyzing Large Data Sets for Longitude Studies

Authors : Bell, Beverly

Subjects: data management; analytics; data governance

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Performance on increasingly large data sets.

Authors : Kieran Elmes (11127506); Fabian Schmich (1814938); Ewa Szczurek (543794)

Subjects: Genetics; Molecular Biology; Biotechnology

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Study area for the motivating example.

Authors : Jay M. Ver Hoef; Michael Dumelle; Matt Higham

Subjects: Biotechnology; Cancer; Biological Sciences not elsewhere classified

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Examples of simulated surfaces used to test methods.

Authors : Jay M. Ver Hoef; Michael Dumelle; Matt Higham

Subjects: Biotechnology; Cancer; Biological Sciences not elsewhere classified

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Illustration of three methods for partitioning data.

Authors : Jay M. Ver Hoef; Michael Dumelle; Matt Higham

Subjects: Biotechnology; Cancer; Biological Sciences not elsewhere classified

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Computing times as a function of sample size for three methods: 1) Full covariance matrix (black line), 2) NNGP (red line), and 3) SPIN (green lines).

Authors : Jay M. Ver Hoef; Michael Dumelle; Matt Higham

Subjects: Biotechnology; Cancer; Biological Sciences not elsewhere classified

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Temperature predictions at 65,099 locations for the Mid-Columbia river.

Authors : Jay M. Ver Hoef; Michael Dumelle; Matt Higham

Subjects: Biotechnology; Cancer; Biological Sciences not elsewhere classified

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Fibonacci numbers.

Authors : Carlos Velarde (4495648); Alberto Robledo (344781)

Subjects: Evolutionary Biology; Sociology; Developmental Biology

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فلترة النتائج

Improving Universal Multifractal parameter estimation for large data sets, a case study in the Greater Paris

Improving Universal Multifractal parameter estimation for large data sets, a case study in the Greater Paris

Emerging Approaches to Managing and Analyzing Large Data Sets for Longitude Studies

Performance on increasingly large data sets.

Study area for the motivating example.

Examples of simulated surfaces used to test methods.

Illustration of three methods for partitioning data.

Computing times as a function of sample size for three methods: 1) Full covariance matrix (black line), 2) NNGP (red line), and 3) SPIN (green lines).

Temperature predictions at 65,099 locations for the Mid-Columbia river.

Fibonacci numbers.

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