Joint Lung CT Image Segmentation: A Hierarchical Bayesian Approach. [PDF]
PLoS ONE, 2016 Accurate lung CT image segmentation is of great clinical value, especially when it comes to delineate pathological regions including lung tumor. In this paper, we present a novel framework that jointly segments multiple lung computed tomography (CT ...
Wenjun Cheng +4 more
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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
Detecting Spatial Clusters via a Mixture of Dirichlet Processes
Journal of Probability and Statistics, 2018 We proposed an approach that has the ability to detect spatial clusters with skewed or irregular distributions. A mixture of Dirichlet processes (DP) was used to describe spatial distribution patterns.
Meredith A. Ray +2 more
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Distributions of Functionals of the two Parameter Poisson-Dirichlet Process [PDF]
The present paper provides exact expressions for the probability distribution of linear functionals of the two–parameter Poisson–Dirichlet process. Distributional results that follow from the application of an inversion formula for a (generalized) Cauchy–
Antonio Lijoi +2 more
core
Context-Dependent Criteria for Dirichlet Process in Sequential Decision-Making Problems
MathematicsIn models with insufficient initial information, parameter estimation can be subject to statistical uncertainty, potentially resulting in suboptimal decision-making; however, delaying implementation to gather more information can also incur costs.
Ksenia Kasianova, Mark Kelbert
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Teacher professional learning community and interdisciplinary collaborative teaching path under the informationization basic education model [PDF]
Yugoslav Journal of Operations ResearchThe construction of a learning community cannot be separated from the participation of information technology. The current teacher learning community has problems of low interaction efficiency and insufficient enthusiasm for group cooperative teaching ...
Li Gen, Jamil Hazri Bin
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On a Gibbs sampler based random process in Bayesian nonparametrics [PDF]
We define and investigate a new class of measure-valued Markov chains by resorting to ideas formulated in Bayesian nonparametrics related to the Dirichlet process and the Gibbs sampler.
Stefano Favaro +2 more
core
Sampling the Dirichlet Mixture Model with Slices [PDF]
We provide a new approach to the sampling of the well known mixture of Dirichlet process model. Recent attention has focused on retention of the random distribution function in the model, but sampling algorithms have then suffered from the countably ...
Stephen G. Walker
core
Time-dependent stick-breaking processes [PDF]
, 2009 This paper considers the problem of defining a time-dependent nonparametric prior. A recursive construction allows the definition of priors whose marginals have a general stick-breaking form.
Griffin, Jim E., Steel, Mark F. J.
core
Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags
Conference on Empirical Methods in Natural Language Processing, 2015 In recent years, the task of recommending hashtags for microblogs has been given increasing attention. Various methods have been proposed to study the problem from different aspects. However, most of the recent studies have not considered the differences
Yeyun Gong, Qi Zhang, Xuanjing Huang
semanticscholar +1 more source