Results 31 to 40 of about 34,920 (220)
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
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Discovering Computer Science Research Topic Trends using Latent Dirichlet Allocation
JOIN: 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
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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.
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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
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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
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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
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Latent Dirichlet Allocation (LDA) for improving the topic modeling of the official bulletin of the spanish state (BOE) [PDF]
, 2019 Since Internet was born most people can access fully free to a lot sources of information. Every day a lot of web pages are created and new content is uploaded and shared. Never in the history the humans has been more informed but also uninformed due the
Bailón-Elvira, J.C. +3 more
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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
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Sparse Stochastic Inference for Latent Dirichlet allocation
, 2012 We present a hybrid algorithm for Bayesian topic models that combines the efficiency of sparse Gibbs sampling with the scalability of online stochastic inference.
Blei, David, Hoffman, Matt, Mimno, David
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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
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