Results 21 to 30 of about 9,066,590 (300)
Rainfall probability modeling for Neelambur areas of Coimbatore, Tamil Nadu
Journal of Agrometeorology, 2009 Daily rainfall data obtained from the rain gauge station, Sulur (110 N and 770 E) were analyzed for fitting one day maximum rainfall, average weekly, monthly and seasonal rainfall data, using different distributions like Normal, Log-normal, Gumbel and ...
B. MAHESHWARA BABU, D. C. SAHOO
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Pengaruh Pencahayaan terhadap Kinerja Segmentasi
ComTech, 2014 Â Light intensity may affect the image quality of an object that can cause barriers in doing preprocessing to improve the image quality of a digital image.
Iman H. Kartowisatro
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Nonlocal Probability Theory: General Fractional Calculus Approach
Mathematics, 2022 Nonlocal generalization of the standard (classical) probability theory of a continuous distribution on a positive semi-axis is proposed. An approach to the formulation of a nonlocal generalization of the standard probability theory based on the use of ...
Vasily E. Tarasov
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Chaotic intermittency with non-differentiable M(x) function
Revista Facultad de Ingeniería Universidad de Antioquia, 2023 One-dimensional maps showing chaotic intermittency with discontinuous reinjection probability density functions are studied. For these maps, the reinjection mechanism possesses two different processes.
Sergio Elaskar +2 more
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Probability density estimation with tunable kernels using orthogonal forward regression [PDF]
, 2010 A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimation process determines a tunable kernel, namely, its center vector and ...
Hong, Xia +3 more
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An Improved Variable Kernel Density Estimator Based on L2 Regularization
Mathematics, 2021 The nature of the kernel density estimator (KDE) is to find the underlying probability density function (p.d.f) for a given dataset. The key to training the KDE is to determine the optimal bandwidth or Parzen window.
Yi Jin, Yulin He, Defa Huang
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Probability density estimation from optimally condensed data samples [PDF]
, 2003 The requirement to reduce the computational cost of evaluating a point probability density estimate when employing a Parzen window estimator is a well-known problem.
Chao, H., Girolami, M.
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On the Probability Density Functions and the Oscillations
Bulletin of the Faculty of Science, Ibaraki University. Series A, Mathematics, 1983 Consider the functional differential equation (E) \(y'(t)+a(t)y(t)+p(t)y(\tau (t))=0\) where a,p\(\in C[T,\infty)\) and lim \(\tau\) (t)\(=+\infty\). The author presents two examples of this equation having respectively the Gaussian and Laplace distributions as solutions. He then gives two nonoscillation and oscillation theorems for (E).
openaire +2 more sources
Ilkom Jurnal Ilmiah, 2017 Identifikasi wajah merupakan masalah sulit terutama ketika informasi dari fitur wajah tidak cukup atau terbatas. Misalnya dalam segmentasi mulut pemelajar, dimana objek yang diamati tergolong rumit, terutama ciri utama wajah yaitu, mata, mulut, hidung ...
Anas Anas
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Foundation of 2-Symbolic Plithogenic Maximum a Posteriori Estimation [PDF]
Neutrosophic Sets and Systems, 2023 In this paper, we introduce and define for the first time the plithogenic loss function, plithogenic risk function, plithogenic maximum likelihood function, and plithogenic posterior risk function, which form a base to easily define the plithogenic ...
Nizar Altounji +2 more
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