Results 261 to 270 of about 63,472 (294)

Bug localization using latent Dirichlet allocation

Information and Software Technology, 2010
Context: Some recent static techniques for automatic bug localization have been built around modern information retrieval (IR) models such as latent semantic indexing (LSI). Latent Dirichlet allocation (LDA) is a generative statistical model that has significant advantages, in modularity and extensibility, over both LSI and probabilistic LSI (pLSI ...
Stacy K. Lukins, Nicholas A. Kraft, Letha H. Etzkorn   +2 more
openaire   +1 more source

Parallel Latent Dirichlet Allocation on GPUs

2018
Latent Dirichlet Allocation (LDA) is a statistical technique for topic modeling. Since it is very computationally demanding, its parallelization has garnered considerable interest. In this paper, we systematically analyze the data access patterns for LDA and devise suitable algorithmic adaptations and parallelization strategies for GPUs. Experiments on
Gordon E. Moon, Israt Nisa, Aravind Sukumaran-Rajam, Bortik Bandyopadhyay, Srinivasan Parthasarathy, P. Sadayappan   +5 more
openaire   +1 more source

Latent dirichlet allocation for tag recommendation

Proceedings of the third ACM conference on Recommender systems, 2009
Tagging systems have become major infrastructures on the Web. They allow users to create tags that annotate and categorize content and share them with other users, very helpful in particular for searching multimedia content. However, as tagging is not constrained by a controlled vocabulary and annotation guidelines, tags tend to be noisy and sparse ...
Ralf Krestel, Peter Fankhauser, Wolfgang Nejdl   +2 more
openaire   +1 more source

Supply chain research overview from the early eighties to Covid era - Big data approach based on Latent Dirichlet Allocation

Computers & industrial engineering, 2023
Peter Madzík, Lukáš Falát, Dominik Zimon   +2 more
semanticscholar   +1 more source

Latent Dirichlet Allocation Based Image Retrieval

2017
In recent years, Bag-of-Visual-Word (BoVW) model has been widely used in computer vision. However, BoVW ignores not only spatial information but also semantic information between visual words. In this study, a latent Dirichlet allocation (LDA) based model has been proposed to obtain the semantic relations of visual words.
Jing Hao, Hongxi Wei
openaire   +1 more source

An integrated latent Dirichlet allocation and Word2vec method for generating the topic evolution of mental models from global to local

Expert systems with applications, 2022
Jian Ma, Lei Wang, Yuanshi Zhang, Weidong Yuan, Wei Guo   +4 more
semanticscholar   +1 more source

Topic Modeling Using Latent Dirichlet allocation

ACM Computing Surveys, 2022
Apurva Shah
exaly  

Mining multi-brand characteristics from online reviews for competitive analysis: A brand joint model using latent Dirichlet allocation

Electronic Commerce Research and Applications, 2022
Yuxuan Guo, Feifei Wang, Chen Xing, Xiaoling Lu   +3 more
semanticscholar   +1 more source

Latent Dirichlet Allocation

2023
openaire   +1 more source

Latent Dirichlet Allocation

2022
openaire   +1 more source