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Displaying records 31 to 40 of 74 records.
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31. Combinatorial Testing of ACTS: A Case Study
Topic: Software
Published: 4/21/2012
Authors: Mehra N. Borazjany, Linbin Yu, Yu Lei, Raghu N Kacker, David R Kuhn
Abstract: In this paper we present a case study of applying combinatorial testing to test a combinatorial test generation tool called ACTS. The purpose of this study is two-fold. First, we want to gain experience and insights about how to apply combinatorial t ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=911345

32. Comparison of ISO-GUM, draft GUM Supplement 1, and Bayesian statistics using simple linear calibration
Topic: Software
Published: 1/1/2006
Authors: Raghu N Kacker, Blaza Toman, Ding Huang
Abstract: We compare three approaches for quantifying uncertainty using a measurement equation: the International Organization for Standardization (ISO) Guide to the Expression of Uncertainty in Measurement (GUM), draft GUM Supplement 1, and Bayesian statistic ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=150381

33. Computation of Complex Airy Functions and Zeros using Asymptotics and Differential Equation
Topic: Software
Published: 12/1/2004
Authors: Bruce R Fabijonas, Daniel W Lozier, Frank William John Olver
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=150041

34. Constructing Sequence Alignments from a Markov Decision Model with Estimated Parameter Values
Topic: Software
Published: 1/1/2004
Authors: Fern Y Hunt, Anthony J Kearsley, Agnes (Abbie) O'Gallagher
Abstract: Current methods for aligning biological sequences are based on dynamic programming algorithms. If large numbers of sequences or a number of long ones are to be aligned the required computations are expensive in memory and CPU time. In an attempt to b ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=51306

35. Constructing Sequence Alignments from a Markov Decision Model with Estimated Parameter Values
Topic: Software
Published: 1/1/2004
Authors: Fern Y Hunt, Anthony J Kearsley, Agnes (Abbie) O'Gallagher
Abstract: Current methods for aligning biological sequences are based on dynamic programming algorithms. If large numbers of sequences or a number of long ones are to be aligned the required computations are expensive in memory and CPU time. In an attempt to b ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=51308

36. Counting on Today's Students
Topic: Software
Published: 9/3/2012
Author: Isabel M Beichl
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=911915

37. Cut it out!
Topic: Software
Published: 5/1/2009
Authors: Isabel M Beichl, Francis Sullivan
Abstract: This is a tutorial article on a probabilistic method for finding minimum cut sets of a connected graph.
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=902324

38. Digital Repository of Mathematical Formulae
Topic: Software
Published: 10/17/2014
Authors: Howard S Cohl, Marjorie A McClain, Bonita V Saunders, Moritz Schubotz, Janelle Williams
Abstract: The purpose of the NIST Digital Repository of Mathematical Formulae (DRMF) is to create a digital compendium of mathematical formulae for orthogonal polynomials and special functions (OPSF) and of associated mathematical data. The DRMF addresses need ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=915784

39. Evaluation of 3D Interest Point Detection Techniques via Human-generated Ground Truth
Topic: Software
Published: 6/29/2012
Authors: Afzal A Godil, Helin Dutagaci
Abstract: In this paper, we present an evaluation strategy based on human-generated ground truth to measure the performance of 3D interest point detection techniques. We provide quantitative evaluation measures that relate automatically detected interest point ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=911521

40. Exploring Local Features and the Bag-of-Visual-Words Approach for BioImage Classification
Topic: Software
Published: 11/5/2013
Authors: Afzal A Godil, Asim Wagan
Abstract: With recent advances in imaging technologies large numbers of bioimages are currently being acquired. Automated classification of these bio-images is a very important and challenging problem. Here we investigate the capabilities of local features a ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=914571



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