subject: Computer Science type: dataset
10.4231/R7SX6B5R
Austin J. Klasa , Courtney Falk
08/19/2015
Public cloud risk assessment tool.
Computer Science Information Security Java Modeling Public cloud providers Risk assessment software Source Code
10.4231/R7JD4TQM
08/31/2015
A CSV and accompanying HTML zip file of data taken at a survey about data sharing during HUBbub 2013.
10.4231/R7GH9FWM
11/20/2015
This file contains C++ source code for the numerical experiments described in the paper Polynomial Fitting Known Plaintext Attack.
Computer Science cryptanalysis encryption Information Security known plaintext attack polynomial fitting
10.4231/R7NG4NKC
10/28/2016
A stable and efficient discretization procedure is developed to compute recurrence coefficients for orthogonal polynomials whose weight function is a polynomial cardinal B-spline of order greater than, or equal to, one.
B-spline Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials polynomials Walter Gautschi Archives weight functions
10.4231/R7610X8M
Jonas Hepp , Mireille Boutin , Yellamraju Tarun
02/03/2016
This code computed a sequence of bounds for the error rate of a pattern recognition method. The bounds correspond to the error rate that one would expect to achieve by simply selecting features at random and thresholding the feature (TARP) approach.
classification Computer Science Electrical and Computer Engineering feature evaluation image processing image recognition Pattern Recognition Pedestrian Classification
10.4231/R7V122R6
10/19/2016
32-digit values of the first 100 recurrence coefficients for the (normalized) weight function w(x)=c*x^(-5/6)e^(-x)Ai((3x/2)^(2/3)) on [0,Inf], c=2^(-1/6)*3^(1/6)/pi^(1/2), where Ai is the Airy function
Airy weight function Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Quadrature and cubature formulas Walter Gautschi Archives
10.4231/R7V9862X
01/13/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=x^(2*μ)*exp(-x^2) on [c,Inf], c = -1, μ = 0
Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
10.4231/R7QN64Q2
01/13/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=x^(2*μ)*exp(-x^2) on [c,Inf], c = -1, μ = -1/4
Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Subrange Hermite polynomials Walter Gautschi Archives weight functions
10.4231/R7KW5D16
01/13/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=x^(2*μ)*exp(-x^2) on [c,Inf], c = -1, μ = 1/4
Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Subrange Hermite polynomials Walter Gautschi Archives weight functions
10.4231/R7028PHC
01/13/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=exp(-x^2) on [c,Inf], c = -√(1/2)
Computer Science Hermite weight function Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
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