Results 51 to 60 of about 63,472 (294)
The supervised hierarchical Dirichlet process [PDF]
, 2014 We propose the supervised hierarchical Dirichlet process (sHDP), a nonparametric generative model for the joint distribution of a group of observations and a response variable directly associated with that whole group.
Dai, Andrew M., Storkey, Amos J.
core +1 more source
Investigation of Emerging Trends in the E-Learning Field Using Latent Dirichlet Allocation
International Review of Research in Open and Distance Learning, 2021 E-learning studies are becoming very important today as they provide alternatives and support to all types of teaching and learning programs. The effect of the COVID-19 pandemic on educational systems has further increased the significance of e-learning.
Fatih Gurcan +2 more
semanticscholar +1 more source
Jurnal Teknik Informatika (Jutif), 2022 Wikipedia is a web-based encyclopedia that is used to search for information. In one of the Wikipedia articles, a problem has been found regarding no one has clustered on the topic of the Covid-19 pandemic in Indonesia.
Wilujeng Ayu Nawang Sari +1 more
semanticscholar +1 more source
Latent Dirichlet Allocation Models for Image Classification [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013 Two new extensions of latent Dirichlet allocation (LDA), denoted topic-supervised LDA (ts-LDA) and class-specific-simplex LDA (css-LDA), are proposed for image classification. An analysis of the supervised LDA models currently used for this task shows that the impact of class information on the topics discovered by these models is very weak in general.
Rasiwasia, Nikhil, Vasconcelos, Nuno
openaire +4 more sources
Topic Modeling on Online News.Portal Using Latent Dirichlet Allocation (LDA)
IJCCS (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
Proceedings 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
Sequential latent Dirichlet allocation
Knowledge and Information Systems, 2011 Understanding how topics within a document evolve over the structure of the document is an interesting and potentially important problem in exploratory and predictive text analytics. In this article, we address this problem by presenting a novel variant of latent Dirichlet allocation (LDA): Sequential LDA (SeqLDA).
Du, Lan +3 more
openaire +2 more sources
Sustainability, 2021 Facing the big data wave, this study applied artificial intelligence to cite knowledge and find a feasible process to play a crucial role in supplying innovative value in environmental education. Intelligence agents of artificial intelligence and natural
I. Chang +3 more
semanticscholar +1 more source
Earth Observation Semantic Data Mining: Latent Dirichlet Allocation-Based Approach
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Recent advances in remote sensing technology have provided (very) high spatial resolution Earth Observation data with abundant latent semantic information.
Reza Mohammadi Asiyabi, Mihai Datcu
doaj +1 more source
Implementasi Latent Dirichlet Allocation (LDA) untuk Klasterisasi Cerita Berbahasa Bali
Jurnal Teknologi Informasi dan Ilmu Komputer, 2021 Cerita-cerita berbahasa Bali memiliki topik yang beragam namun memuat nilai kearifan lokal yang perlu untuk dilestarikan. Jika cerita-cerita tersebut dapat dikelompokkan berdasarkan topik, tentu akan sangat memudahkan bagi para pembacanya dalam memilih ...
Ngurah Agus Sanjaya ER
doaj +1 more source