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pro vyhledávání: '"Theußl, Stefan"'
Optimization plays an important role in many methods routinely used in statistics, machine learning and data science. Often, implementations of these methods rely on highly specialized optimization algorithms, designed to be only applicable within a
Externí odkaz:
http://epub.wu.ac.at/5858/1/ROI_StatReport.pdf
R has recently gained explicit text mining support with the "tm" package enabling statisticians to answer many interesting research questions via statistical analysis or modeling of (text) corpora. However, we typically face two challenges when analy
The identification of high quality journals often serves as a basis for the assessment of research contributions. In this context rankings have become an increasingly popular vehicle to decide upon incentives for researchers, promotions, tenure or ev
Externí odkaz:
http://epub.wu.ac.at/2913/1/JCR%2Dpreprint.pdf
R, a software package for statistical computing and graphics, has evolved into the lingua franca of (computational) statistics. One of the cornerstones of R's success is the decentralized and modularized way of creating software using a multi-tiered
Externí odkaz:
http://epub.wu.ac.at/866/1/document.pdf
Autor:
Bohn, Angela, Theußl, Stefan, Feinerer, Ingo, Hornik, Kurt, Mair, Patrick, Walchhofer, Norbert
In Social Network Analysis (SNA) centrality measures focus on activity (degree), information access (betweenness), distance to all the nodes (closeness), or popularity (pagerank). We introduce a new measure quantifying the distance of nodes to the ne
Externí odkaz:
http://epub.wu.ac.at/1466/1/document.pdf
Autor:
Theußl, Stefan, Zeileis, Achim
Open source software (OSS) is typically created in a decentralized self-organizing process by a community of developers having the same or similar interests. A key factor for the success of OSS over the last two decades is the internet: Developers wh
Externí odkaz:
http://epub.wu.ac.at/222/1/document.pdf
R has gained explicit text mining support with the tm package enabling statisticians to answer many interesting research questions via statistical analysis or modeling of (text) corpora. However, we typically face two challenges when analyzing large
Externí odkaz:
http://epub.wu.ac.at/3974/1/plugin.pdf
http://epub.wu.ac.at/3974/2/tm.plugin.dc_0.2%2D4.tar.gz
http://epub.wu.ac.at/3974/2/tm.plugin.dc_0.2%2D4.tar.gz
Autor:
Theußl, Stefan
This thesis is comprised of three papers "On the design of R-based scalable frameworks for data science applications". We discuss the design of conceptual and computational frameworks for the R language for statistical computing and graphics and buil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______777::cf36b7216e35a2fa1a65ad9b1825a872
https://epub.wu.ac.at/7479/
https://epub.wu.ac.at/7479/
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