Datasets

subject: Computer Science

Total is 303 Results
HUBbub 2013 Survey Data

10.4231/R7JD4TQM

Michael G. Zentner

08/31/2015

A CSV and accompanying HTML zip file of data taken at a survey about data sharing during HUBbub 2013.

Computer Science Survey

A Non-parametric Bayesian Model for Joint Cell Clustering and Cluster Matching: Identification of Anomalous Sample Phenotypes with Random Effects.

10.4231/R7KK98PG

Bartlomiej P. Rajwa , Ferit Akova , Halid Ziya Yerebakan , Murat Dundar

09/03/2014

The manuscript presents a non-parametric Bayesian algorithm called ASPIRE (Anomalous Sample Phenotype Identification with Random Effects) able to identify phenotypic differences across batches of cytometry samples in the presence of random effects

AML Bayesian Biomedical Engineering BMC Bioinformatics Computer Science cytometry Dirichlet process Gaussian mixture model Interdisciplinary Research Life Sciences random effects

RP1D (Clustering Method Using 1D Random Projections)

10.4231/R74F1NN4

Mireille Boutin ORCID logo , Sangchun Han

11/12/2014

The source code of RP1D (Clustering Method Using 1D Random Projections).

Clustering Computer Science Electrical and Computer Engineering Random Projection Source Code

Longitudinal password data set varying with policy

10.4231/R72V2D12

Brian Curnett , Melissa J. Dark

06/02/2015

The data set included the participants' identification number (USER ID), the participants' assigned password policy identification number (POLICY ID), and seven iterations of passwords (PASSWORD 1-7).

Computer Science Longitudinal Study Password Analysis Password Policies Passwords Real-World Passwords

32-digit values of the first 100 recurrence coefficients for the weight function w(x)=log(1/x) on [0,1]

10.4231/R7639MQT

Walter Gautschi ORCID logo

03/30/2017

32-digit values of the first 100 recurrence coefficients for the weight function w(x)=x^a*[log(1/x)]^b on [0,1], a = 0, b = 1

Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions

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