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Biomedical Text Categorization Based on Ensemble Pruning and Optimized Topic Modelling
Text mining is an important research direction, which involves several fields, such as information retrieval, information extraction, and text categorization.
Aytuğ Onan
semanticscholar +1 more source
Topic-Based Influence Computation in Social Networks under Resource Constraints [PDF]
As social networks are constantly changing and evolving, methods to analyze dynamic social networks are becoming more important in understanding social trends.
Bingöl, Kaan+4 more
core +2 more sources
The use of high-dose methylprednisolone for acute spinal cord injury continues to be a topic of debate. This controversy largely stems from fundamental issues in statistical interpretation of trial data, most notably subgroup analyses.
Shannon Hextrum, Stephanie Bennett
doaj +1 more source
DOLDA: a regularized supervised topic model for high-dimensional multi-class regression [PDF]
Generating user interpretable multi-class predictions in data-rich environments with many classes and explanatory covariates is a daunting task. We introduce Diagonal Orthant Latent Dirichlet Allocation (DOLDA), a supervised topic model for multi-class ...
Maans Magnusson+2 more
semanticscholar +1 more source
Topics in statistical mechanics [PDF]
This thesis deals with four independent topics in statistical mechanics: (1) the dimer problem is solved exactly for a hexagonal lattice with general boundary using a known generating function from the theory of partitions. It is shown that the leading term in the entropy depends on the shape of the boundary; (2) continuum models of percolation and ...
openaire +4 more sources
Introduction: Application of statistical software typically does not require extensive statistical knowledge, allowing to easily perform even complex analyses.
Elżbieta Sandurska, Aleksandra Szulc
doaj +3 more sources
A Hybrid Strategy for Illuminant Estimation Targeting Hard Images [PDF]
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
core +1 more source
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
doaj +1 more source
Problem-Driven Teaching: Estimating the Population from a Sample
Today, mathematics teachers are realizing that there are many benefits of problem-driven teaching, but also face a number of challenges, such as a lack of confidence, not knowing how to design high-quality problems, and not knowing how to deal with the ...
Guoqiang Dang+3 more
doaj +1 more source
Spatial Data in Undergraduate Statistics Curriculum
In this article we present and discuss the importance and relevance of the inclusion of spatial data analysis as part of the undergraduate statistics curriculum.
Nicolas Christou
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