The Latent Dirichlet Allocation model with covariates (LDAcov): A case study on the effect of fire on species composition in Amazonian forests
Sign Up to like & getrecommendations! Published in 2021 at "Ecology and Evolution"
DOI: 10.1002/ece3.7626
Abstract: Abstract Understanding and predicting the effect of global change phenomena on biodiversity is challenging given that biodiversity data are highly multivariate, containing information from tens to hundreds of species in any given location and time.… read more here.
Keywords: amazonian forests; latent dirichlet; effect; model ... See more keywords
Crowd labeling latent Dirichlet allocation
Sign Up to like & getrecommendations! Published in 2017 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-017-1053-1
Abstract: Large, unlabeled datasets are abundant nowadays, but getting labels for those datasets can be expensive and time-consuming. Crowd labeling is a crowdsourcing approach for gathering such labels from workers whose suggestions are not always accurate.… read more here.
Keywords: latent dirichlet; crowd labeling; labeling latent; dirichlet allocation ... See more keywords
Evolution of research topics in LIS between 1996 and 2019: an analysis based on latent Dirichlet allocation topic model
Sign Up to like & getrecommendations! Published in 2020 at "Scientometrics"
DOI: 10.1007/s11192-020-03721-0
Abstract: This study investigated the evolution of library and information science (LIS) by analyzing research topics in LIS journal articles. The analysis is divided into five periods covering the years 1996–2019. Latent Dirichlet allocation modeling was… read more here.
Keywords: 1996 2019; analysis; latent dirichlet; dirichlet allocation ... See more keywords
Diverse reports recommendation system based on latent Dirichlet allocation
Sign Up to like & getrecommendations! Published in 2017 at "Behaviormetrika"
DOI: 10.1007/s41237-017-0027-7
Abstract: This paper presents a proposal for system supporting learners in improving their report-writing skills by recommending reports from previous learners. The proposed system recommends reports that share similar subjects but which have different structures, expressions,… read more here.
Keywords: proposed system; latent dirichlet; system; dirichlet allocation ... See more keywords
PAN-LDA: A latent Dirichlet allocation based novel feature extraction model for COVID-19 data using machine learning
Sign Up to like & getrecommendations! Published in 2021 at "Computers in Biology and Medicine"
DOI: 10.1016/j.compbiomed.2021.104920
Abstract: The recent outbreak of novel Coronavirus disease or COVID-19 is declared a pandemic by the World Health Organization (WHO). The availability of social media platforms has played a vital role in providing and obtaining information… read more here.
Keywords: machine learning; latent dirichlet; covid; model ... See more keywords
Knowledge discovery using an enhanced latent Dirichlet allocation-based clustering method for solving on-site assembly problems
Sign Up to like & getrecommendations! Published in 2022 at "Robotics and Computer-integrated Manufacturing"
DOI: 10.1016/j.rcim.2021.102246
Abstract: Abstract Prompt responses to problems/faults arising in an assembly workshop are crucial in terms of production reliability and efficiency. However, human-dependent tasks are time-consuming and prone to error. In this paper, we propose a knowledge… read more here.
Keywords: latent dirichlet; assembly problems; dirichlet allocation; enhanced latent ... See more keywords
Integrating patent analysis into technology roadmapping: A latent dirichlet allocation based technology assessment and roadmapping in the field of Blockchain
Sign Up to like & getrecommendations! Published in 2021 at "Technological Forecasting and Social Change"
DOI: 10.1016/j.techfore.2021.120729
Abstract: Abstract This study develops a new analysis method, the latent Dirichlet allocation topic model, and uses it to perform technology assessment and roadmapping analysis of the blockchain field based on patent data. Our results describe… read more here.
Keywords: latent dirichlet; technology; blockchain; analysis ... See more keywords
Fast Moment Estimation for Generalized Latent Dirichlet Models
Sign Up to like & getrecommendations! Published in 2018 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2017.1341839
Abstract: ABSTRACT We develop a generalized method of moments (GMM) approach for fast parameter estimation in a new class of Dirichlet latent variable models with mixed data types. Parameter estimation via GMM has computational and statistical… read more here.
Keywords: moment estimation; estimation; dirichlet; latent dirichlet ... See more keywords
Predicting Trends and Research Patterns of Smart Cities: A Semi-Automatic Review Using Latent Dirichlet Allocation (LDA)
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3214310
Abstract: Smart cities are a current worldwide topic requiring much scientific investigation. This research instigates the necessity of an organized review to a heedful insight of the research trends and patterns prevailing in this domain. The… read more here.
Keywords: dirichlet allocation; trends research; latent dirichlet; using latent ... See more keywords
Max-Margin Deep Diverse Latent Dirichlet Allocation With Continual Learning.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2020.3044915
Abstract: Deep probabilistic aspect models are widely utilized in document analysis to extract the semantic information and obtain descriptive topics. However, there are two problems that may affect their applications. One is that common words shared… read more here.
Keywords: topic; latent dirichlet; max margin; dirichlet allocation ... See more keywords
Pólya Urn Latent Dirichlet Allocation: A Doubly Sparse Massively Parallel Sampler
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2018.2832641
Abstract: Latent Dirichlet Allocation (LDA) is a topic model widely used in natural language processing and machine learning. Most approaches to training the model rely on iterative algorithms, which makes it difficult to run LDA on… read more here.
Keywords: sampler; latent dirichlet; lya urn; dirichlet allocation ... See more keywords