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  2. NASA-TLX - Wikipedia

    en.wikipedia.org/wiki/NASA-TLX

    To overcome the delay in administrating the test, the Official NASA TLX Apple iOS App [9] can be used to capture both the pairwise question answers and a subjects subjective subscale input, as well as calculating the final weighted and unweighted results. A feature found in the Official NASA TLX App is a new computer interface response rating ...

  3. Benchmarking - Wikipedia

    en.wikipedia.org/wiki/Benchmarking

    Review and recalibrate; The following is an example of a typical benchmarking methodology: Identify problem areas: Because benchmarking can be applied to any business process or function, a range of research techniques may be required.

  4. Statistical benchmarking - Wikipedia

    en.wikipedia.org/wiki/Statistical_benchmarking

    Benchmarking is sometimes referred to as 'post-stratification' because of its similarities to stratified sampling.The difference between the two is that in stratified sampling, we decide in advance how many units will be sampled from each stratum (equivalent to benchmarking cells); in benchmarking, we select units from the broader population, and the number chosen from each cell is a matter of ...

  5. Test functions for optimization - Wikipedia

    en.wikipedia.org/wiki/Test_functions_for...

    In applied mathematics, test functions, known as artificial landscapes, are useful to evaluate characteristics of optimization algorithms, such as convergence rate, precision, robustness and general performance.

  6. Benchmark (computing) - Wikipedia

    en.wikipedia.org/wiki/Benchmark_(computing)

    A graphical demo running as a benchmark of the OGRE engine. In computing, a benchmark is the act of running a computer program, a set of programs, or other operations, in order to assess the relative performance of an object, normally by running a number of standard tests and trials against it.

  7. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Each file represents a single experiment and contains a single anomaly. The dataset represents a multivariate time series collected from the sensors installed on the testbed. There are two markups for Outlier detection (point anomalies) and Changepoint detection (collective anomalies) problems

  8. Travelling salesman problem - Wikipedia

    en.wikipedia.org/wiki/Travelling_salesman_problem

    Solution of a travelling salesman problem: the black line shows the shortest possible loop that connects every red dot. In the theory of computational complexity, the travelling salesman problem (TSP) asks the following question: "Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city exactly once and returns to the ...

  9. Lancichinetti–Fortunato–Radicchi benchmark - Wikipedia

    en.wikipedia.org/wiki/Lancichinetti–Fortunato...

    Lancichinetti–Fortunato–Radicchi benchmark is an algorithm that generates benchmark networks (artificial networks that resemble real-world networks). They have a priori known communities and are used to compare different community detection methods. [ 1 ]