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  2. Loss functions for classification - Wikipedia

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

    The Tangent loss is quasi-convex and is bounded for large negative values which makes it less sensitive to outliers. Interestingly, the Tangent loss also assigns a bounded penalty to data points that have been classified "too correctly". This can help prevent over-training on the data set.

  3. Desmos - Wikipedia

    en.wikipedia.org/wiki/Desmos

    The name Desmos came from the Greek word δεσμός which means a bond or a tie. [6] In May 2022, Amplify acquired the Desmos curriculum and teacher.desmos.com. Some 50 employees joined Amplify. Desmos Studio was spun off as a separate public benefit corporation focused on building calculator products and other math tools. [7]

  4. Log-normal distribution - Wikipedia

    en.wikipedia.org/wiki/Log-normal_distribution

    In this context, the log-normal distribution has shown a good performance in two main use cases: (1) predicting the proportion of time traffic will exceed a given level (for service level agreement or link capacity estimation) i.e. link dimensioning based on bandwidth provisioning and (2) predicting 95th percentile pricing.

  5. Convex function - Wikipedia

    en.wikipedia.org/wiki/Convex_function

    For a convex function , the sublevel sets {: <} and {: ()} with are convex sets. A function that satisfies this property is called a quasiconvex function and may fail to be a convex function. Consequently, the set of global minimisers of a convex function f {\displaystyle f} is a convex set: argmin f {\displaystyle {\operatorname {argmin} }\,f ...

  6. Convex optimization - Wikipedia

    en.wikipedia.org/wiki/Convex_optimization

    Modeling tools are separate pieces of software that let the user specify an optimization in higher-level syntax. They manage all transformations to and from the user's high-level model and the solver's input/output format. The table below shows a mix of modeling tools (such as CVXPY and Convex.jl) and solvers (such as CVXOPT and MOSEK).

  7. Convex measure - Wikipedia

    en.wikipedia.org/wiki/Convex_measure

    The classes of s-convex measures form a nested increasing family as s decreases to −∞" . or, equivalently {} {}.Thus, the collection of −∞-convex measures is the largest such class, whereas the 0-convex measures (the logarithmically concave measures) are the smallest class.

  8. Convex analysis - Wikipedia

    en.wikipedia.org/wiki/Convex_analysis

    is a convex set. [2] The epigraphs of extended real-valued functions play a role in convex analysis that is analogous to the role played by graphs of real-valued function in real analysis . Specifically, the epigraph of an extended real-valued function provides geometric intuition that can be used to help formula or prove conjectures.

  9. Extreme point - Wikipedia

    en.wikipedia.org/wiki/Extreme_point

    A convex set in light blue, and its extreme points in red. In mathematics , an extreme point of a convex set S {\displaystyle S} in a real or complex vector space is a point in S {\displaystyle S} that does not lie in any open line segment joining two points of S . {\displaystyle S.}