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  2. Regularization (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Regularization_(mathematics)

    The goal of regularization is to encourage models to learn the broader patterns within the data rather than memorizing it. Techniques like early stopping , L1 and L2 regularization , and dropout are designed to prevent overfitting and underfitting, thereby enhancing the model's ability to adapt to and perform well with new data, thus improving ...

  3. IEEE Transactions on Pattern Analysis and Machine Intelligence

    en.wikipedia.org/wiki/IEEE_Transactions_on...

    The journal covers research in computer vision and image understanding, pattern analysis and recognition, machine intelligence, machine learning, search techniques, document and handwriting analysis, medical image analysis, video and image sequence analysis, content-based retrieval of image and video, and face and gesture recognition.

  4. Human error assessment and reduction technique - Wikipedia

    en.wikipedia.org/wiki/Human_error_assessment_and...

    1. The first stage of the process is to identify the full range of sub-tasks that a system operator would be required to complete within a given task.

  5. Ellingham diagram - Wikipedia

    en.wikipedia.org/wiki/Ellingham_diagram

    This analysis is usually used to evaluate the ease of reduction of metal oxides and sulfides. These diagrams were first constructed by Harold Ellingham in 1944. [ 1 ] In metallurgy , the Ellingham diagram is used to predict the equilibrium temperature between a metal , its oxide , and oxygen — and by extension, reactions of a metal with ...

  6. Pattern grading - Wikipedia

    en.wikipedia.org/wiki/Pattern_grading

    Pattern shifting: Pattern shifting involves increasing the overall dimensions of a pattern by moving it around at a constant distance. After the pattern is moved, the outline is redrawn in order to produce the same results as cut-and-spread. Computer grading: Computer grading is the most recent development in grading technology.

  7. Gradient pattern analysis - Wikipedia

    en.wikipedia.org/wiki/Gradient_pattern_analysis

    By connecting all vectors using a Delaunay triangulation criterion it is possible to characterize gradient asymmetries computing the so-called gradient asymmetry coefficient, that has been defined as: =, where > is the total number of asymmetric vectors, is the number of Delaunay connections among them and the property > is valid for any gradient square lattice.

  8. Elliott wave principle - Wikipedia

    en.wikipedia.org/wiki/Elliott_wave_principle

    R. N. Elliott's analysis of the mathematical properties of waves and patterns eventually led him to conclude that "The Fibonacci Summation Series is the basis of The Wave Principle". [1] Numbers from the Fibonacci sequence surface repeatedly in Elliott wave structures, including motive waves (1, 3, 5), a single full cycle (8 waves), and the ...

  9. Selected area diffraction - Wikipedia

    en.wikipedia.org/wiki/Selected_area_diffraction

    This allows to form a pattern of bright spots typical for SAD. [3] Relation between spot and ring diffraction illustrated on 1 to 1000 grains of MgO using simulation engine of CrysTBox. Experimental image shown below. SAD is called "selected" because it allows the user to select the sample area from which the diffraction pattern will be acquired.

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