Results 41 to 50 of about 2,998,558 (396)
Radiology and Oncology, 2020 Specific correlations among diffusion tensor imaging (DTI)-derived metrics and magnetic resonance spectroscopy (MRS) metabolite ratios in brains with glioblastoma are still not completely understood.
Flores-Alvarez Eduardo +5 more
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A network approach to topic models [PDF]
Science Advances 4, eaaq1360 (2018), 2017 One of the main computational and scientific challenges in the modern age is to extract useful information from unstructured texts. Topic models are one popular machine-learning approach which infers the latent topical structure of a collection of documents. Despite their success --- in particular of its most widely used variant called Latent Dirichlet
arxiv +1 more source
A Hybrid Strategy for Illuminant Estimation Targeting Hard Images [PDF]
, 2016 Illumination estimation is a well-studied topic in computer vision. Early work reported performance on benchmark datasets using simple statistical aggregates such as mean or median error.
Brown, Michael +2 more
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Statistical entity-topic models [PDF]
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, 2006 The primary purpose of news articles is to convey information about who, what, when and where. But learning and summarizing these relationships for collections of thousands to millions of articles is difficult. While statistical topic models have been highly successful at topically summarizing huge collections of text documents, they do not explicitly ...
Chaitanya Chemudugunta +2 more
openaire +2 more sources
Visualizing Topic Uncertainty in Topic Modelling [PDF]
arXiv, 2023 Word clouds became a standard tool for presenting results of natural language processing methods such as topic modelling. They exhibit most important words, where word size is often chosen proportional to the relevance of words within a topic. In the latent Dirichlet allocation (LDA) model, word clouds are graphical presentations of a vector of weights
arxiv
Applied Bayesian Approaches for Research in Motor Neuron Disease
Frontiers in Neurology, 2022 Statistical evaluation of empirical data is the basis of the modern scientific method. Available tools include various hypothesis tests for specific data structures, as well as methods that are used to quantify the uncertainty of an obtained result ...
Anna G. M. Temp +7 more
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Teaching and Learning Data Visualization: Ideas and Assignments
, 2015 This article discusses how to make statistical graphics a more prominent element of the undergraduate statistics curricula. The focus is on several different types of assignments that exemplify how to incorporate graphics into a course in a pedagogically
Nolan, Deborah, Perrett, Jamis
core +2 more sources
SETS Instrument: to Investigate Statistics's Teaching Self Efficacy [PDF]
, 2023 This study examines the development of research on the topic of using mobile payments, e-wallets. The study aims to find out:: (1) how many international scientific publications have developed the topic self-efficacy in teaching statistics from 2013-
Nisraeni, Nisraeni +2 more
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Journal of Innovation in Educational and Cultural Research, 2023 Students avoid statistics class because they believe it is tough, however, the topic will be easier to understand if they participate in the learning process.
Atikah Ainun Mufidah +5 more
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Validation methods of nursing protocols: an integrative review [PDF]
Revista Brasileira de Enfermagem, 2020 Objective: to identify scientific production about validation methods of nursing care protocols. Method: an integrative review with search at Scielo, Pubmed/MEDLINE, Virtual Health Library, Web of Science, Scopus, and EBSCOhost.
Tainara Wink Vieira +4 more
doaj +3 more sources