Results 51 to 60 of about 23,712,988 (293)
Fast search for Dirichlet process mixture models
CoRR, 2009 Dirichlet process (DP) mixture models provide a flexible Bayesian framework for density estimation. Unfortunately, their flexibility comes at a cost: inference in DP mixture models is computationally expensive, even when conjugate distributions are used. In the common case when one seeks only a maximum a posteriori assignment of data points to clusters,
openaire +4 more sources
Normalized random measures driven by increasing additive processes [PDF]
, 2004 This paper introduces and studies a new class of nonparametric prior distributions. Random probability distribution functions are constructed via normalization of random measures driven by increasing additive processes.
PRUENSTER, IGOR +4 more
core +1 more source
Remote Sensing, 2021 In this study, multi-patch collaborative learning is introduced into variational low-rank matrix factorization to suppress mixed noise in hyperspectral images (HSIs).
Shuai Liu, Jie Feng, Zhiqiang Tian
doaj +1 more source
Advanced Engineering Materials, EarlyView.Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati +11 more
wiley +1 more source
Models beyond the Dirichlet process [PDF]
Bayesian nonparametric inference is a relatively young area of research and it has recently undergone a strong development. Most of its success can be explained by the considerable degree of exibility it ensures in statistical modelling, if compared to ...
Antonio Lijoi, Igor Pruenster
core +4 more sources
GeS as an Emerging OTS Material: Atomic Structure and Modeling of ON/OFF Switching
Advanced Functional Materials, EarlyView.The structural puzzle of glassy GeS, an advanced memory‐selector material, has finally been disentangled, revealing a patchwork of mixed tetrahedral and trigonal species. Under a high electric field, over‐ and under‐coordinated Ge and S defects, together with three‐membered rings, form an interconnected network associated with localized and extended ...
Andrey Tverjanovich +13 more
wiley +1 more source
Comparative evaluation of alternative Bayesian semi-parametric spatial crash frequency models
Journal of Traffic and Transportation Engineering (English ed. Online)Albeit with the notable benefits associated with Dirichlet crash frequency models and spatial ones, there is little research dedicated to exploring their combined advantages.
Gurdiljot Singh Gill +3 more
doaj +1 more source
Mixtures of Stick-Breaking Processes [PDF]
, 2008 We consider mixtures of stickbreaking processes as a generalization of the mixture of Dirichlet process model. We provide a sampling algorithm which covers all such models provide specific reasons for using particular choices of prior.
Walker, Stephen G., Kalli, Maria
core
Configuration‐Encoded Cell Alignment by Light‐Gated Silicon Photovoltaic Microcell Arrays
Advanced Functional Materials, EarlyView.Light‐gated silicon photovoltaic microcells convert pulsed illumination into localized electrical cues. Arranging otherwise similar microcells into four‐lobed, six‐lobed, or circular patterns directs fibroblasts into corresponding local arrangements without wired stimulation.
Yifan Tao +7 more
wiley +1 more source
Entropy, 2022 In the development of simplex mixed-effects models, random effects in these mixed-effects models are generally distributed in normal distribution. The normality assumption may be violated in an analysis of skewed and multimodal longitudinal data. In this
Anmin Tang, Xingde Duan, Yuanying Zhao
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