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  2. MATLAB - Wikipedia

    en.wikipedia.org/wiki/MATLAB

    MATLAB (an abbreviation of "MATrix LABoratory" [18]) is a proprietary multi-paradigm programming language and numeric computing environment developed by MathWorks.MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages.

  3. Loss functions for classification - Wikipedia

    en.wikipedia.org/wiki/Loss_functions_for...

    A Bayes consistent loss function allows us to find the Bayes optimal decision function by directly minimizing the expected risk and without having to explicitly model the probability density functions. For convex margin loss (), it can be shown that () is Bayes consistent if and only if it is differentiable at 0 and ′ <.

  4. Support vector machine - Wikipedia

    en.wikipedia.org/wiki/Support_vector_machine

    This function is zero if the constraint in is satisfied, in other words, if lies on the correct side of the margin. For data on the wrong side of the margin, the function's value is proportional to the distance from the margin. The goal of the optimization then is to minimize:

  5. Margin (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Margin_(machine_learning)

    H 2 does, but only with a small margin. H 3 separates them with the maximum margin. In machine learning, the margin of a single data point is defined to be the distance from the data point to a decision boundary. Note that there are many distances and decision boundaries that may be appropriate for certain datasets and goals.

  6. Hinge loss - Wikipedia

    en.wikipedia.org/wiki/Hinge_loss

    The plot shows that the Hinge loss penalizes predictions y < 1, corresponding to the notion of a margin in a support vector machine. In machine learning, the hinge loss is a loss function used for training classifiers. The hinge loss is used for "maximum-margin" classification, most notably for support vector machines (SVMs). [1]

  7. Phase margin - Wikipedia

    en.wikipedia.org/wiki/Phase_margin

    Phase margin and gain margin are two measures of stability for a feedback control system. They indicate how much the gain or the phase of the system can vary before it becomes unstable. Phase margin is the difference (expressed as a positive number) between 180° and the phase shift where the magnitude of the loop transfer function is 0 dB.

  8. Marginal distribution - Wikipedia

    en.wikipedia.org/wiki/Marginal_distribution

    The values of the joint distribution are in the 3×4 rectangle; the values of the marginal distributions are along the right and bottom margins. A marginal probability can always be written as an expected value : p X ( x ) = ∫ y p X ∣ Y ( x ∣ y ) p Y ( y ) d y = E Y ⁡ [ p X ∣ Y ( x ∣ Y ) ] . {\displaystyle p_{X}(x)=\int _{y}p_{X\mid ...

  9. MathWorks - Wikipedia

    en.wikipedia.org/wiki/MathWorks

    MATLAB was created in the 1970s by Cleve Moler, who was chairman of the computer science department at the University of New Mexico at the time. It was a free tool for academics. Jack Little, who would eventually set up the company, came across the tool while he was a graduate student in electrical engineering at Stanford University.