Results 51 to 60 of about 1,120,364 (167)
Order and stochastic dynamics in Drosophila planar cell polarity. [PDF]
Cells in the wing blade of Drosophila melanogaster exhibit an in-plane polarization causing distal orientation of hairs. Establishment of the Planar Cell Polarity (PCP) involves intercellular interactions as well as a global orienting signal. Many of the
Yoram Burak, Boris I Shraiman
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The Supermodular Stochastic Ordering [PDF]
In many economic applications involving comparisons of multivariate distributions, supermodularity of an objective function is a natural property for capturing a preference for greater interdependence. One multivariate distribution dominates another according to the supermodular stochastic ordering if it yields a higher expectation than the other for ...
Meyer, M, Strulovici, B
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Stochastic Variational Partitioned Runge-Kutta Integrators for Constrained Systems [PDF]
Stochastic variational integrators for constrained, stochastic mechanical systems are developed in this paper. The main results of the paper are twofold: an equivalence is established between a stochastic Hamilton-Pontryagin (HP) principle in generalized
Bou-Rabee, Nawaf, Owhadi, Houman
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Uniformly Shifted Exponential Distribution
The use of life distributions has increased over the past decade, receiving particular attention in recent years, both from a practical and theoretical point of view. Life distributions can be used in a number of applied fields, such as medicine, biology,
Abdulhamid. A. Alzaid, Najla Qarmalah
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Tsallis Log-Scale-Location Models. Moments, Gini Index and Some Stochastic Orders
In this article we give theoretical results for different stochastic orders of a log-scale-location family which uses Tsallis statistics functions. These results describe the inequalities of moments or Gini index according to parameters.
Vasile Preda, Luigi-Ionut Catana
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Stochastic Order Methods Applied to Stochastic Travelling Waves
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tribe, Roger, Woodward, Nicholas
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Weak decreasing stochastic order [PDF]
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Antoine-Marie Bogso, Patrice Takam Soh
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Stochastic permutation ordering watershed [PDF]
The stochastic watershed is a morphological approach to segmentation that repeats the application of a seeded watershed from series of uniform random markers. The obtained watershed boundaries are combined to construct a probability density function. We propose an alternative approach called stochastic permutation ordering watershed.
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A Robust Adaptive Stochastic Gradient Method for Deep Learning
Stochastic gradient algorithms are the main focus of large-scale optimization problems and led to important successes in the recent advancement of the deep learning algorithms. The convergence of SGD depends on the careful choice of learning rate and the
Bengio, Yoshua +3 more
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Learning with Stochastic Orders
Code available at https://github.com/yair-schiff/stochastic-orders ...
Domingo-Enrich, Carles +2 more
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