Results 51 to 60 of about 2,998,558 (396)
Recent Advances in Text Analysis [PDF]
Text analysis is an interesting research area in data science and has various applications, such as in artificial intelligence, biomedical research, and engineering. We review popular methods for text analysis, ranging from topic modeling to the recent neural language models.
arxiv +1 more source
From A to Z: Asymptotic expansions by van Zwet [PDF]
Refinements of first-order asymptotic results are reviewed, with a number of Ph.D. projects supervised by van Zwet serving as stepping stones. Berry-Esseen bounds and Edgeworth expansions are discussed for $R$-, $L$- and $U$-statistics.
Albers, W.
core +1 more source
Human colon organoid differentiation from induced pluripotent stem cells using an improved method
We compared established protocols to differentiate induced pluripotent stem cells into colon organoids and found that activation of bone morphogenetic protein 2 signaling induced gene expression of colon‐specific markers. Adenovirus‐mediated transduction of the transcription factors HOXD13 or SATB2 further enhanced colonic gene expression, suggesting ...
I‐Ting Lee+4 more
wiley +1 more source
Objective: To determine the overall publication rates for abstracts presented at two consecutive Nordic Congresses of General Practice and to evaluate determinants for these publication rates. Design: Prospective study.
Frans Boch Waldorff+5 more
doaj +1 more source
Comparison of calibration methods in the analysis of 2013 Brazilian National Health Survey data [PDF]
Objective: This study aims to compare calibration methods for weights in the subsample of Laboratory Exams from the 2013 Brazilian National Health Survey (PNS), seeking to assess their representativeness and precision. Methods: Two alternative proposals
Juliana Sena de Souza+2 more
doaj +1 more source
Assigning Topics to Documents by Successive Projections [PDF]
Topic models provide a useful tool to organize and understand the structure of large corpora of text documents, in particular, to discover hidden thematic structure. Clustering documents from big unstructured corpora into topics is an important task in various areas, such as image analysis, e-commerce, social networks, population genetics.
arxiv
Directions and projective shapes
This paper deals with projective shape analysis, which is a study of finite configurations of points modulo projective transformations. The topic has various applications in machine vision.
Mardia, Kanti V., Patrangenaru, Vic
core +1 more source
Elo Ratings and the Sports Model: A Neglected Topic in Applied Probability?
Author(s): Aldous, D | Abstract: © Institute of Mathematical Statistics, 2017. In a simple model for sports, the probability A beats B is a specified function of their difference in strength.
D. Aldous
semanticscholar +1 more source
Hermansky‐Pudlak syndrome type 1 (HPS‐1) is a rare, autosomal recessive disorder with poorly understood renal involvement. Urinary extracellular vesicle (uEV) proteomics and a novel Hps1 mouse model reveal mitochondrial abnormalities and lipid accumulation in HPS‐1 kidney proximal tubule cells. Serum ApoA1 correlates with kidney function in our patient
Dawn M. Maynard+7 more
wiley +1 more source
AI supported Topic Modeling using KNIME-Workflows [PDF]
Topic modeling algorithms traditionally model topics as list of weighted terms. These topic models can be used effectively to classify texts or to support text mining tasks such as text summarization or fact extraction. The general procedure relies on statistical analysis of term frequencies.
arxiv