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Dynamic Origin/Destination modeling with Gravity-Latent Dirichlet Allocation (G-LDA)
2016The proposed approach follows and develops the research direction initiated almost 50 years ago, during which Origin/Destination (O/D) matrices were in a very simple way evaluated by means of Gravity Models (see Casey (1955)). In the classical framework, the population density of locations and the distance between two locations are often considered as ...
Randriamanamihaga, Andry +2 more
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Application of Latent Dirichlet Allocation (LDA) to Identify Research Topics in Journal Publications
2023 International Conference on Informatics, Multimedia, Cyber and Informations System (ICIMCIS), 2023Puji Rahayu +4 more
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The exact asymptotic form of Bayesian generalization error in latent Dirichlet allocation
Neural Networks, 2021Naoki Hayashi
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Enriched Latent Dirichlet Allocation for Sentiment Analysis
Expert Systems, 2020Amjad Osmani +2 more
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Tutorial 2: Latent Dirichlet Allocation (LDA) by Abram Hindle
2014 IEEE 4th Workshop on Mining Unstructured Data, 2014openaire +1 more source
Enhancing Cyber Threat Intelligence Using Latent Dirichlet Allocation (LDA)
2025 First International Conference on Intelligent Computing and Communication Systems (CICCS)Sajjad Shaik +6 more
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Cloud computing plays a critical role across business sectors, academic research, and personal applications. This thesis aims to identify prominent themes in the cloud computing literature and to analyze temporal trends within the field. For this purpose, a comprehensive dataset comprising 18,689 articles published between 2014 and 2024 was retrieved ...
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