Datasets

subject: Computer Science

Total is 303 Results
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

Task analysis cases and results for Ex Libris Primo at Purdue University Libraries

10.4231/R7CZ3538

Marlen Promann , Tao Zhang

11/06/2014

These figures represent the task analysis results of different use cases of Ex Libris Primo implemented at Purdue University Libraries, depending on the availability and format of the resource being searched by the user.

Computer Science Library Science Library Website Primo Task Analysis

Link Pivot Algorithm for Offset Optimization

10.4231/R7GQ6VPT

Christopher Day , Darcy M. Bullock ORCID logo

11/20/2014

This animation illustrates the use of the Link Pivot algorithm for optimizing offsets on a signalized arterial.

Civil Engineering Computer Science optimization traffic engineering traffic signal timing traffic signals

Gauss quadrature rules

10.4231/R72805KQ

Walter Gautschi ORCID logo

12/06/2016

Variable-precision Matlab routine for generating the nodes and weights of a Gaussian quadrature rule

Computation of recurrence coefficients and special Gaussian quadrature rules Computer Science Gaussian quadrature Mathematics Walter Gautschi Archives weight functions

Code and Dataset for Pattern Recognition Benchmarks

10.4231/R7G73BPN

Jonas Hepp , Mireille Boutin ORCID logo , Yellamraju Tarun

12/12/2016

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

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