Results 71 to 80 of about 23,712,988 (293)
Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data
CoRR, 2022 Practical tools for clustering streaming data must be fast enough to handle the arrival rate of the observations. Typically, they also must adapt on the fly to possible lack of stationarity; i.e., the data statistics may be time-dependent due to various forms of drifts, changes in the number of clusters, etc. The Dirichlet Process Mixture Model (DPMM),
Or Dinari, Oren Freifeld
openaire +4 more sources
Autonomous Flame Detection in Videos With a Dirichlet Process Gaussian Mixture Color Model [PDF]
, 2019 Codes for the paper of 'Autonomous Flame Detection in Videos With a Dirichlet Process Gaussian Mixture Color Model' published in IEEE Transactions on Industrial Informatics.The codes train a flame colour model based on DPGMM and employ it together with ...
Zhenglin Li (2748622) +2 more
core +2 more sources
Journal of the Association for Information Science and Technology, EarlyView.Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
PReMiuM: An R Package for Profile Regression Mixture Models Using Dirichlet Processes
Journal of Statistical Software, 2015 PReMiuM is a recently developed R package for Bayesian clustering using a Dirichlet process mixture model. This model is an alternative to regression models, non- parametrically linking a response vector to covariate data through cluster membership ...
Silvia Liverani +4 more
doaj +1 more source
Bayesian nonparametric hidden Markov models with application to the analysis of copy-number-variation in mammalian genomes [PDF]
, 2009 We consider the development of Bayesian Nonparametric methods for product partition models such as Hidden Markov Models and change point models.
Yau, C. +3 more
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British Educational Research Journal, EarlyView.Abstract Parents of children with special educational needs and disabilities (SEND) increasingly seek information and support through online discussions, yet little is known about how architectural features of digital platforms shape the interactions and support that parents encounter. The paper makes two contributions: First, it develops and applies a
Alan Shaw, Patricia A. Shaw
wiley +1 more source
InventionsTo address the increased operational risk in distribution network caused by the grid integration of distributed wind power, a distribution network risk assessment method that combines a Dirichlet process mixture model (DPMM) with the cumulant method (CM)
Yuxuan Huang +6 more
doaj +1 more source
A Gibbs Sampler for a Hierarchical Dirichlet Process Mixture Model
, 2019 A Gibbs sampler for the hierarchical Dirichlet process mixture model (HDPMM) when used with multinomial ...
Mark Andrews
core +1 more source
Countable representation for infinite-dimensional diffusions derived from the two parameter Poisson Dirichlet process [PDF]
, 2009 This paper provides a countable representation for a class of infinite-dimensional diffusions which extends the infinitely-many-neutral-alleles model and is related to the two-parameter Poisson-Dirichlet process. By means of Gibbs sampling procedures, we
Ruggiero, Matteo +3 more
core +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This article contributes to sustainability research by investigating the complex, geopolitically induced challenges faced by industrial supply chains under international sanctions. Using Iran's steel industry as a case, it examines sustainability barriers through the lens of stakeholder theory. A mixed methods approach was employed.
Seyed Hamed Moosavirad +2 more
wiley +1 more source