Results 81 to 90 of about 11,564,802 (285)
Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network
Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network and massive device connectivity with ultra‐low latency requirement. The cutting edge technologies such as artificial intelligence, quantum machine learning, and millimetre enable hyper‐connectivity to ...
Deebak Bakkiam David, Fadi Al‐Turjman
wiley +1 more source
Fast search for Dirichlet process mixture models
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
Hyperspectral image unmixing using a multiresolution sticky HDP [PDF]
This paper is concerned with joint Bayesian endmember extraction and linear unmixing of hyperspectral images using a spatial prior on the abundance vectors.We propose a generative model for hyperspectral images in which the abundances are sampled from a ...
Hero, Alfred O. +3 more
core +1 more source
ABSTRACT Sustainability reports (SRs) are widely criticized for vague disclosures and selective emphasis on positive outcomes, yet systematic research on two core SR challenges remains limited: materiality (whether disclosed content is relevant) and balance (whether both achievements and challenges are reported).
Mahsa Mohammadrezaei +1 more
wiley +1 more source
ABSTRACT This study explores how circular economy (CE) principles are incorporated in construction‐related policy roadmaps worldwide, addressing the growing need for effective resource strategies in a highly material‐intensive sector. National strategic CE documents from 57 countries were analyzed using natural language processing techniques, and then ...
Aidana Tleuken +5 more
wiley +1 more source
Variational inference for Dirichlet process mixtures
Dirichlet process (DP) mixture models are the cornerstone of non- parametric Bayesian statistics, and the development of Monte-Carlo Markov chain (MCMC) sampling methods for DP mixtures has enabled the application of non- parametric Bayesian methods to a variety of practical data analysis problems.
Blei, David M., Jordan, Michael I.
openaire +2 more sources
<p>Data and code release for peer view of manuscript entitled, "Clustering and unconstrained ordination with Dirichlet process mixture models."</p ...
Anonymous
core +1 more source
ABSTRACT Widespread digital adoption has challenged our understanding of how these tools reshape collaboration, trust and sustainability outcomes across different institutional and network contexts. As networks now pursue resilience and sustainable development in parallel, we map emerging research directions and identify how collaboration and ...
Ari Carisza Graha Prasetia +1 more
wiley +1 more source
Recently, demand response (DR) programs are being promoted in the power market to strengthen the role played by the load side in the power market and to increase the flexibility of loaders to participate in the power market.
Zhuo Wang +6 more
doaj +1 more source
A Gibbs Sampler for a Hierarchical Dirichlet Process Mixture Model
A Gibbs sampler for the hierarchical Dirichlet process mixture model (HDPMM) when used with multinomial ...
Mark Andrews
core +1 more source

