Subject
- Mathematics 285
- Biomedical Engineering 2
- Interdisciplinary Research 2
- Life Sciences 2
- Civil Engineering 1
- Communication 1
- Library Science 1
Creator
- Walter Gautschi, 0000-0001-9184-8899 286
- Mireille Boutin, 0000-0002-0837-6577 3
- Bartlomiej P. Rajwa 2
- Courtney Falk 2
- Jonas Hepp 2
- Murat Dundar 2
- Yellamraju Tarun 2
- Adnan Firoze, 0000-0002-2751-009X 1
- Akshaj Uppala 1
- Austin J. Klasa 1
Type
- Dataset 302
Date
subject: Computer Science type: dataset
Total is 302 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
,
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
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
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
32-digit values of the first 100 recurrence coefficients for a Pollaczek-type weight function with parameter 10
10.4231/R76H4FFD
02/27/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=exp(-(1-x^2)^(-a)) on [-1,1], a=10
Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Pollaczek weigh function Walter Gautschi Archives weight functions
32-digit values of the first 100 recurrence coefficients for a Pollaczek-type weight function with parameter 1/10
10.4231/R7Z03656
02/27/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=exp(-(1-x^2)^(-a)) on [-1,1], a=1/10
Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Pollaczek weigh function Walter Gautschi Archives weight functions
32-digit values of the first 100 recurrence coefficients for the symmetric Laguerre weight function
10.4231/R7QF8QVK
02/14/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=exp(-|x|) on [-Inf,Inf]
Computer Science Laguerre weight functions Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
32-digit values of the first 100 recurrence coefficients for a half-range hyperexponential weight function
10.4231/R7JQ0Z1W
02/27/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=exp(-exp(x)) on [0,Inf]
Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
32-digit values of the first 100 recurrence coefficients for a symmetric hyperexponential weight function
10.4231/R7KP804N
02/14/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=exp(-exp(|x|)) on [-Inf,Inf]
Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
32-digit values of the first 100 recurrence coefficients for the Freud weight function with exponent 3
10.4231/R7HT2M9T
02/27/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=|x|^μ*exp(-|x|^ν) on [-Inf,Inf], μ=0, ν=3
Computer Science Freud weight function Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
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