Results 1 to 10 of about 3,755 (136)
Greedy feature selection for glycan chromatography data with the generalized Dirichlet distribution. [PDF]
BMC Bioinformatics, 2013 Glycoproteins are involved in a diverse range of biochemical and biological processes. Changes in protein glycosylation are believed to occur in many diseases, particularly during cancer initiation and progression. The identification of biomarkers for human disease states is becoming increasingly important, as early detection is key to improving ...
Galligan MC +4 more
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Some properties of a generalized type-1 Dirichlet distribution
Statistica, 2013 This paper deals with a generalization of type-1 Dirichlet density by incorporating partial sums of the component variables. We study various proportions, structural decompositions, connections to random volumes and p-parallelotopes.
E. V. Mayamol
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Variational learning of a Dirichlet process of generalized Dirichlet distributions for simultaneous clustering and feature selection [PDF]
Pattern Recognition, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wentao Fan, Nizar Bouguila
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Distribution of the LR criterion Up,m,n as a marginal distribution of a generalized Dirichlet model
Statistica, 2013 The density of the likelihood ratio criterion Up,m,n is expressed in terms of a marginal density of a generalized Dirichlet model having a specific set of parameters.
Seemon Thomas, Alex Thannippara
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A Generalized Dirichlet Distribution in Bayesian Life Testing
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1975 Summary Let F(x) be the c.d.f. for some population of life times. For real numbers t 1<t 2<…<tk, where F(t l)>0 and F(tk)<l, let p 1 = F(t l) and pi = F(ti) – F(ti –1) for i = 2, 3,…, k. A generalized Dirichlet prior distribution for p = (pl …,pk) having density function f(p)∝Πi=1kpiαi−1(1−p1−…−pi)
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A Fractional Generalization of the Dirichlet Distribution and Related Distributions [PDF]
Fractional Calculus and Applied Analysis, 2021 This paper is devoted to a fractional generalization of the Dirichlet distribution. The form of the multivariate distribution is derived assuming that the $n$ partitions of the interval $[0,W_n]$ are independent and identically distributed random variables following the generalized Mittag-Leffler distribution. The expected value and variance of the one-
Elvira Di Nardo +2 more
openaire +4 more sources
Mathematics, 2022 The high accuracy attainment, using less complex architectures of neural networks, remains one of the most important problems in machine learning. In many studies, increasing the quality of recognition and prediction is obtained by extending neural ...
Ruslan Abdulkadirov +2 more
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Decay Branch Ratio Sampling Method with Dirichlet Distribution
Energies, 2023 The decay branch ratio is evaluated nuclear data related to the decay heat calculation in reactor safety analysis. Decay branch ratio data are inherently subjected to the “sum-to-one” constraint, making it difficult to generate perturbed samples while ...
Yizhen Wang +5 more
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Efficient Feature Mapping in Classifying Proportional Data
IEEE Access, 2021 In image classification, traditional kernels or feature mapping functions of Support Vector Machine(SVM) use discriminative features without considering the true nature of the data.
Md. Hafizur Rahman, Nizar Bouguila
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Ain Shams Engineering Journal, 2023 Under the time-variable Dirichlet condition, the time-fractional diffusion equation with heat absorption in a sphere is taken into consideration. The time-fractional derivative with the power-law kernel is used in the generalized Cattaneo constitutive ...
Nehad Ali Shah +4 more
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