Results 21 to 30 of about 7,298 (159)

Latent IBP Compound Dirichlet Allocation [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015
We introduce the four-parameter IBP compound Dirichlet process (ICDP), a stochastic process that generates sparse non-negative vectors with potentially an unbounded number of entries. If we repeatedly sample from the ICDP we can generate sparse matrices with an infinite number of columns and power-law characteristics.
Cédric Archambeau, Balaji Lakshminarayanan, Guillaume Bouchard   +2 more
openaire   +2 more sources

Topic Modeling for Support Ticket using Latent Dirichlet Allocation

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022
In the business world, communication over customers must be built properly to make it easier for companies to find out what customers want. Support ticket is one of the business instrument for communication between the customers and the companies ...
Wiranto Wiranto, Mila Rosyida Uswatunnisa   +1 more
doaj   +1 more source

Inference in Supervised latent Dirichlet allocation [PDF]

2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
Supervised latent Dirichlet allocation (Supervised-LDA) [1] is a probabilistic topic model that can be used for classification. One of the advantages of Supervised-LDA over unsupervised LDA is that it can potentially learn topics that are inline with the class label.
Balaji Lakshminarayanan, Raviv Raich
openaire   +1 more source

ANOMALY DETECTION IN ONLINE SOCIAL MEDIA THROUGH ADVANCED AI TECHNIQUES AND TOPIC MODELING [PDF]

Proceedings on Engineering Sciences
The ubiquity of online social media platforms has led to an increasing need for effective anomaly detection methods to identify irregularities and potential threats within user-generated content.
Navdeep Bohra , Deepti Deshwal , Ashish Kumari , Amita Yadav , Anamika Rana   +4 more
doaj   +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.
Nikhil Rasiwasia, Nuno Vasconcelos
openaire   +4 more sources

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, Ahmad Fathan Hidayatullah, Ahmad Rafie Pratama   +2 more
doaj   +1 more source

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, Johanna Okerlund, Dominique Exley   +2 more
doaj   +1 more source

Latent Dirichlet Allocation in predicting clinical trial terminations

BMC 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, Lendie Follett, Marcia Laugerman   +2 more
doaj   +1 more source

Partial Membership Latent Dirichlet Allocation

CoRR, 2015
cut to 6 pages, add sunset ...
Chao Chen 0040, Alina Zare, J. Tory Cobb
openaire   +2 more sources