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  2. File:Hyperparameter Optimization using Grid Search.svg

    en.wikipedia.org/wiki/File:Hyperparameter...

    English: For both hyperparameters of a model, a discrete set of values to search is defined (here, 10 values). In hyperparameter optimization with grid search, the model is trained using each combination of hyperparameter values (100 trials in this example) and the model performance (colored lines, better performance = blue) is saved.

  3. Hyperparameter optimization - Wikipedia

    en.wikipedia.org/wiki/Hyperparameter_optimization

    Random Search replaces the exhaustive enumeration of all combinations by selecting them randomly. This can be simply applied to the discrete setting described above, but also generalizes to continuous and mixed spaces. A benefit over grid search is that random search can explore many more values than grid search could for continuous ...

  4. Pattern search (optimization) - Wikipedia

    en.wikipedia.org/wiki/Pattern_search_(optimization)

    Pattern search (also known as direct search, derivative-free search, or black-box search) is a family of numerical optimization methods that does not require a gradient. As a result, it can be used on functions that are not continuous or differentiable. One such pattern search method is "convergence" (see below), which is based on the theory of ...

  5. Supersampling - Wikipedia

    en.wikipedia.org/wiki/Supersampling

    A modification of the grid algorithm to approximate the Poisson disk. A pixel is split into several sub-pixels, but a sample is not taken from the center of each, but from a random point within the sub-pixel. Congregation can still occur, but to a lesser degree. [3]

  6. Jump point search - Wikipedia

    en.wikipedia.org/wiki/Jump_point_search

    In computer science, jump point search (JPS) is an optimization to the A* search algorithm for uniform-cost grids. It reduces symmetries in the search procedure by means of graph pruning, [1] eliminating certain nodes in the grid based on assumptions that can be made about the current node's neighbors, as long as certain conditions relating to the grid are satisfied.

  7. 9-slice scaling - Wikipedia

    en.wikipedia.org/wiki/9-slice_scaling

    9-slice scaling (also known as Scale 9 grid, 9-slicing or 9-patch) is a 2D image resizing technique to proportionally scale an image by splitting it in a grid of nine parts. [ 1 ] The key idea is to prevent image scaling distortion by protecting the pixels defined in 4 parts (corners) of the image and scaling or repeating the pixels in the ...

  8. Multivariate interpolation - Wikipedia

    en.wikipedia.org/wiki/Multivariate_interpolation

    Schemes defined for scattered data on an irregular grid are more general. They should all work on a regular grid, typically reducing to another known method. Nearest-neighbor interpolation; Triangulated irregular network-based natural neighbor; Triangulated irregular network-based linear interpolation (a type of piecewise linear function)

  9. Grid (graphic design) - Wikipedia

    en.wikipedia.org/wiki/Grid_(graphic_design)

    A grid applied within an image (instead of a page) using additional angular lines to guide proportions. In graphic design, a grid is a structure (usually two-dimensional) made up of a series of intersecting straight (vertical, horizontal, and angular) or curved lines (grid lines) used to structure content.