Results 31 to 40 of about 970,151 (199)

Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network

open access: yesIET Networks, EarlyView., 2022
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

Selecting Priors for Latent Dirichlet Allocation

open access: yes2018 IEEE 12th International Conference on Semantic Computing (ICSC), 2018
Latent Dirichlet Allocation (LDA) has gained much attention from researchers and is increasingly being applied to uncover underlying semantic structures from a variety of corpora. However, nearly all researchers use symmetrical Dirichlet priors, often unaware of the underlying practical implications that they bear. This research is the first to explore
Shaheen Syed, Marco Spruit
openaire   +4 more sources

Latent Dirichlet Allocation in predicting clinical trial terminations

open access: yesBMC Medical Informatics and Decision Making, 2019
Background This study used natural language processing (NLP) and machine learning (ML) techniques to identify reliable patterns from within research narrative documents to distinguish studies that complete successfully, from the ones that terminate ...
Simon Geletta   +2 more
doaj   +1 more source

Discovering Computer Science Research Topic Trends using Latent Dirichlet Allocation

open access: yesJOIN: Jurnal Online Informatika, 2021
Before conducting a research project, researchers must find the trends and state of the art in their research field. However, that is not necessarily an easy job for researchers, partly due to the lack of specific tools to filter the required information
Kartika Rizqi Nastiti   +2 more
doaj   +1 more source

Topic Modeling on Online News.Portal Using Latent Dirichlet Allocation (LDA)

open access: yesIJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2022
The amount of News displayed on online news portals. Often does not indicate the topic being discussed, but the News can be read and analyzed. You can find the main issues and trends in the News being discussed.
Mohammad Rezza Fahlevvi, Azhari SN
doaj   +1 more source

Topic Modeling for Makerspace Artifact Analysis

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference, 2021
As the making phenomenon becomes more prevalent, diverse, and vast, it becomes increasingly challenging to identify general temporal or spatial trends in types of making endeavors.
David Wilson   +2 more
doaj   +1 more source

Modeling Topic and Role Information in Meetings using the Hierarchical Dirichlet Process [PDF]

open access: yes, 2008
In this paper, we address the modeling of topic and role information in multiparty meetings, via a nonparametric Bayesian model called the hierarchical Dirichlet process.
Renals, Steve, Huang, Songfang
core   +1 more source

Partial Membership Latent Dirichlet Allocation

open access: yesCoRR, 2015
cut to 6 pages, add sunset ...
Chao Chen 0040, Alina Zare, J. Tory Cobb
openaire   +3 more sources

Topic-weak-correlated Latent Dirichlet allocation [PDF]

open access: yes2010 7th International Symposium on Chinese Spoken Language Processing, 2010
Latent Dirichlet allocation (LDA) has been widely used for analyzing large text corpora. In this paper we propose the topic-weak-correlated LDA (TWC-LDA) for topic modeling, which constrains different topics to be weak-correlated. This is technically achieved by placing a special prior over the topic-word distributions. Reducing the overlapping between
Yimin Tan, Zhijian Ou
openaire   +2 more sources

Bayesian latent variable models for collaborative item rating prediction [PDF]

open access: yes, 2011
Collaborative filtering systems based on ratings make it easier for users to find content of interest on the Web and as such they constitute an area of much research.
Harvey, Morgan Alexander   +3 more
core   +4 more sources

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