Results 221 to 230 of about 249,007 (264)
Global feasible path planning for pest monitoring robots in unstructured agricultural environments. [PDF]
Front Plant SciShao Y, Tao F, Si P, Ji B, Li M.
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Innovative statistical method for longitudinal and hierarchical data modeling: the GMEXGBoost method. [PDF]
BMC Med Res MethodolAsadi F +4 more
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Integrating biological and machine learning models for rainbow trout growth: Balancing accuracy and interpretability. [PDF]
PLoS OneFulton L, Lyu P.
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Applying machine learning models to predict and identify factors affecting academic performance of paramedical students: a cross-sectional study. [PDF]
BMC Med EducZarei O +6 more
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Compressive strength prediction of carbonated recycled aggregate concrete using regression based machine learning models. [PDF]
Sci RepGebremariam HG, Taye S, Tarekegn AG.
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Oberwolfach Reports, 2009
The meeting was devoted to random trees, a central concept in mathematics that provides a key way of thinking about relationships between objects such as particles in a fluid, individuals in a population, or labels in a search algorithm. Particular emphasis was put on the role of random trees in physics, biology, and computer science.
Ellen Baake +3 more
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The meeting was devoted to random trees, a central concept in mathematics that provides a key way of thinking about relationships between objects such as particles in a fluid, individuals in a population, or labels in a search algorithm. Particular emphasis was put on the role of random trees in physics, biology, and computer science.
Ellen Baake +3 more
+5 more sources
Journal of Theoretical Probability, 1997
A random measure \(\nu\) is constructed as limiting state of a supercritical discrete time branching random walk in which particle mass and step size are rescaled geometrically in time. At least heuristically, the law of \(\nu\) is related to the distribution of a superprocess at a certain deterministic time.
Allouba, Hassan +3 more
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A random measure \(\nu\) is constructed as limiting state of a supercritical discrete time branching random walk in which particle mass and step size are rescaled geometrically in time. At least heuristically, the law of \(\nu\) is related to the distribution of a superprocess at a certain deterministic time.
Allouba, Hassan +3 more
openaire +2 more sources
Theory of Probability & Its Applications, 1985
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Statistics & Probability Letters, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Konsowa, Mokhtar H., Oraby, Tamer F.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Konsowa, Mokhtar H., Oraby, Tamer F.
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