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  2. Windows Calculator - Wikipedia

    en.wikipedia.org/wiki/Windows_Calculator

    A simple arithmetic calculator was first included with Windows 1.0. [5]In Windows 3.0, a scientific mode was added, which included exponents and roots, logarithms, factorial-based functions, trigonometry (supports radian, degree and gradians angles), base conversions (2, 8, 10, 16), logic operations, statistical functions such as single variable statistics and linear regression.

  3. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    Regression 2019 [179] K. Mills & I. Tamblyn Quantum simulations of an electron in a two dimensional potential well Labelled images of raw input to a simulation of 2d Quantum mechanics Raw data (in HDF5 format) and output labels from quantum simulation 1.3 million images Labeled images Regression 2017 [180] K. Mills, M.A. Spanner, & I. Tamblyn

  4. Weka (software) - Wikipedia

    en.wikipedia.org/wiki/Weka_(software)

    In version 3.7.2, a package manager was added to allow the easier installation of extension packages. [6] Some functionality that used to be included with Weka prior to this version has since been moved into such extension packages, but this change also makes it easier for others to contribute extensions to Weka and to maintain the software, as this modular architecture allows independent ...

  5. Meta-regression - Wikipedia

    en.wikipedia.org/wiki/Meta-regression

    The full model then becomes y tk = x tk ′ β + w tk ′ γ k + ε tk. Random effects in meta-regression are intended to reflect the noisy treatment effects—unless assumed and modeled otherwise—which implies that the length of the corresponding coefficient vector γ k should be the same as the number of treatments included in the study ...

  6. Meta-learning (computer science) - Wikipedia

    en.wikipedia.org/wiki/Meta-learning_(computer...

    Meta-learning [1] [2] is a subfield of machine learning where automatic learning algorithms are applied to metadata about machine learning experiments. As of 2017, the term had not found a standard interpretation, however the main goal is to use such metadata to understand how automatic learning can become flexible in solving learning problems, hence to improve the performance of existing ...

  7. QLattice - Wikipedia

    en.wikipedia.org/wiki/QLattice

    The QLattice is a software library which provides a framework for symbolic regression in Python.It works on Linux, Windows, and macOS.The QLattice algorithm is developed by the Danish/Spanish AI research company Abzu. [1]

  8. List of numerical libraries - Wikipedia

    en.wikipedia.org/wiki/List_of_numerical_libraries

    The choice of a typical library depends on a range of requirements such as: desired features (e.g. large dimensional linear algebra, parallel computation, partial differential equations), licensing, readability of API, portability or platform/compiler dependence (e.g. Linux, Windows, Visual C++, GCC), performance, ease-of-use, continued support ...

  9. BLIS (software) - Wikipedia

    en.wikipedia.org/wiki/BLIS_(software)

    In scientific computing, BLIS (BLAS-like Library Instantiation Software) [2] [3] [4] [5] is an open-source framework for implementing a superset of BLAS (Basic Linear ...

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