scholarly journals Introduction to the special issue on statistical and probabilistic methods for user modeling

2007 ◽  
Vol 17 (1-2) ◽  
pp. 1-4 ◽  
Author(s):  
David Albrecht ◽  
Ingrid Zukerman
2019 ◽  
Vol 28 (4) ◽  
pp. 483-484
Author(s):  
Hsien-Kuei Hwang ◽  
Ralph Neininger ◽  
Marek Zaionc

This special issue is devoted to the Mathematical Analysis of Algorithms, which aims to predict the performance of fundamental algorithms and data structures in general use in Computer Science. The simplest measure of performance is the expected value of a cost function under natural models of randomness for the data, and finer properties of the cost distribution provide a deeper understanding of the complexity. Research in this area, which is intimately connected to combinatorics and random discrete structures, uses a rich variety of combinatorial, analytic and probabilistic methods.


2015 ◽  
Vol 25 (3) ◽  
pp. 185-187 ◽  
Author(s):  
Tsvi Kuflik ◽  
Judy Kay ◽  
Aaron Quigley
Keyword(s):  

2022 ◽  
Vol 40 (2) ◽  
pp. 1-5
Author(s):  
Xiangnan He ◽  
Zhaochun Ren ◽  
Emine Yilmaz ◽  
Marc Najork ◽  
Tat-Seng Chua
Keyword(s):  

2020 ◽  
Vol 30 (2) ◽  
pp. 195-198
Author(s):  
Marko Tkalčič ◽  
Markus Schedl ◽  
Peter Knees
Keyword(s):  

2020 ◽  
Vol 24 (4) ◽  
pp. 437-439
Author(s):  
Marcelo G. Armentano ◽  
Frank Hopfgartner ◽  
Ioanna Lykourentzou ◽  
Antonela Tommasel

2006 ◽  
Vol 16 (3-4) ◽  
pp. 171-174 ◽  
Author(s):  
Elena Gaudioso ◽  
Amy Soller ◽  
Julita Vassileva

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