Results 21 to 30 of about 19,195,534 (303)
Exploiting parallelism in coalgebraic logic programming [PDF]
, 2014 We present a parallel implementation of Coalgebraic Logic Programming (CoALP) in the programming language Go. CoALP was initially introduced to reflect coalgebraic semantics of logic programming, with coalgebraic derivation algorithm featuring both ...
Schmidt, Martin +7 more
core +1 more source
, 2022 This appendix shows the programming models in the statistical program R. For this purpose, set number 33 [109] and its fit to the Korsmeyer-Peppas model was taken as an example. (DOCX)
Karla Vizuete (6910013) +6 more
core +1 more source
Support Vector Machines in R [PDF]
, 2005 Being among the most popular and efficient classification and regression methods currently available, implementations of support vector machines exist in almost every popular programming language.
Kurt Hornik +5 more
core +1 more source
A new method for computing the reliability of consecutive k-out-of-n:F systems
Open Physics, 2016 In many physical systems, reliability evaluation, such as ones encountered in telecommunications, the design of integrated circuits, microwave relay stations, oil pipeline systems, vacuum systems in accelerators, computer ring networks, and spacecraft ...
Gökdere Gökhan +2 more
doaj +1 more source
analyzeR: A SonarQube plugin for analyzing object-oriented R Packages
SoftwareX, 2022 Automated Static Analysis Tools (ASATs) analyze source-code to capture defects and ensure higher quality. SonarQube is a renown ASAT that supports mainstream programming languages. However, R programming is not included.
Pranav Chandramouli +2 more
doaj +1 more source
$r$--convex transformability in nonlinear programming problems [PDF]
, 2005 summary:We show that for $r$-convex transformable nonlinear programming problems the Karush-Kuhn-Tucker necessary optimality conditions are also sufficient and we provide a method of solving such problems with the aid of associated $r$-convex ...
Galewska, E., Galewski, M.
core +1 more source
Enhancing credit risk forecasting using time-series models and R programming: A comparative analysis [PDF]
Contabilitate şi Informatică de GestiuneResearch Question: Which of the four models (MLR, IV, ARIMA, ES) performed through R programming are more precise in credit risk forecasting based on financial ratios and possess improved robustness and generalizability as well as being less prone to ...
Alexey Litvinenko +2 more
doaj +1 more source
LEARNING R PROGRAMMING LANGUAGE FOR ECONOMICS [PDF]
Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie, 2023 act Worldwide, scientists conduct research finding answers to questions, and that to do this they have to use, measure, and analyze data. Nowadays, more than never, computer programs are intensive used by researchers from various domains in order to ...
TEIUŞAN SORIN-CIPRIAN
doaj
Novel pedagogical tool for simultaneous learning of plane geometry and R programming [PDF]
Research Ideas and Outcomes, 2018 Programming a computer is an activity that can be very beneficial to undergraduate students in terms of improving their mental capabilities, collaborative attitudes and levels of engagement in learning.
Álvaro Briz-Redón +1 more
doaj +2 more sources
environmental monitoring, cartography, image processing, sub-saharan Africa, R programming
Advances in Geodesy and Geoinformation, 2023 The article presents the reviewed and summarised research activities of the Polish research groups on gravimetry and gravity field modelling in the period of 2019–2022.
Jan Krynski +2 more
doaj +1 more source