Results 1 to 10 of about 5,397,311 (205)
Some properties of a generalized type-1 Dirichlet distribution
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
doaj +2 more sources
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
doaj +1 more source
Decay Branch Ratio Sampling Method with Dirichlet Distribution
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
doaj +1 more source
Efficient Feature Mapping in Classifying Proportional Data
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
doaj +1 more source
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
doaj +1 more source
Scientists occasionally predict projected changes in extreme climate using multi-model ensemble methods that combine predictions from individual simulation models.
Yonggwan Shin +8 more
doaj +1 more source
Flexible Bayesian Dirichlet mixtures of generalized linear mixed models for count data
The need to model count data correctly calls for introducting a flexible yet robust model that can sufficiently handle various types of count data. Models such as Ordinary Least Squares (OLS) used in the past were considered unsuitable.
Olumide S. Adesina +2 more
doaj +1 more source
Observations on K-Image Expansion of Image-Mixing Augmentation
Image-mixing augmentations (e.g., Mixup and CutMix), which typically involve mix ing two images, have become the de-facto training techniques for image classification.
Joonhyun Jeong +5 more
doaj +1 more source
Some Relationships between the Analogs of Euler Numbers and Polynomials
We construct new twisted Euler polynomials and numbers. We also study the generating functions of the twisted Euler numbers and polynomials associated with their interpolation functions.
C. S. Ryoo, Lee-Chae Jang, T. Kim
doaj +2 more sources
Single-Block Recursive Poisson–Dirichlet Fragmentations of Normalized Generalized Gamma Processes
Dong, Goldschmidt and Martin (2006) (DGM) showed that, for ...
Lancelot F. James
doaj +1 more source

