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  2. Structured support vector machine - Wikipedia

    en.wikipedia.org/wiki/Structured_support_vector...

    The design of this function depends very much on the application. Because the regularized risk function above is non-differentiable, it is often reformulated in terms of a quadratic program by introducing one slack variable for each sample, each representing the value of the maximum. The standard structured SVM primal formulation is given as ...

  3. Fuzzy cognitive map - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_cognitive_map

    Fuzzy cognitive maps are signed fuzzy directed graphs. Spreadsheets or tables are used to map FCMs into matrices for further computation. FCM is a technique used for causal knowledge acquisition and representation, it supports causal knowledge reasoning process and belong to the neuro-fuzzy system that aim at solving decision making problems, modeling and simulate complex systems. [4]

  4. Support vector machine - Wikipedia

    en.wikipedia.org/wiki/Support_vector_machine

    Potential drawbacks of the SVM include the following aspects: Requires full labeling of input data; Uncalibrated class membership probabilities—SVM stems from Vapnik's theory which avoids estimating probabilities on finite data; The SVM is only directly applicable for two-class tasks.

  5. Relevance vector machine - Wikipedia

    en.wikipedia.org/wiki/Relevance_vector_machine

    Compared to that of support vector machines (SVM), the Bayesian formulation of the RVM avoids the set of free parameters of the SVM (that usually require cross-validation-based post-optimizations). However RVMs use an expectation maximization (EM)-like learning method and are therefore at risk of local minima.

  6. Multi-label classification - Wikipedia

    en.wikipedia.org/wiki/Multi-label_classification

    It provides multi-label implementation of several well-known techniques including SVM, kNN and many more. The package is built on top of scikit-learn ecosystem. The binary relevance method, classifier chains and other multilabel algorithms with a lot of different base learners are implemented in the R-package mlr [ 25 ]

  7. Kernel method - Wikipedia

    en.wikipedia.org/wiki/Kernel_method

    In machine learning, kernel machines are a class of algorithms for pattern analysis, whose best known member is the support-vector machine (SVM). These methods involve using linear classifiers to solve nonlinear problems. [1]

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  9. Microsoft Visio - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Visio

    Microsoft Visio (/ ˈ v ɪ z. i. oʊ /, VIZ-ee-oh), formerly Microsoft Office Visio, is a diagramming and vector graphics application and is part of the Microsoft 365 family. The product was first introduced in 1992 by former American software company Visio Corporation, and its latest version is Visio 2021.

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