Ellipsoid Support Vector Machine

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Two ellipsoid Support Vector Machines - ScienceDirect

    https://www.sciencedirect.com/science/article/pii/S0957417414004138
    1. Introduction. Binary classification is a core problem in machine learning, relevant from both theoretical and practical perspectives. Over the past decade, Support Vector Machine (SVM) model (Cortes & Vapnik, 1995) gained a great interest due to its good mathematical formulation accompanied with a great number of empirical results.Several modifications were proposed, ranging from the ...Cited by: 12

Ellipsoidal Support Vector Machines

    http://proceedings.mlr.press/v13/momma10a/momma10a.pdf
    Ellipsoidal Support Vector Machines represent vectors and the capital letters represent matrices. The vector/matrix transpose is T. The kernel matrix is given by K with Kij as its element. trA denotes the trace of a matrix A. “s.t.” in optimization problems means “subject to”. I is an index set of m dataCited by: 3

(PDF) Ellipsoidal Support Vector Machines.

    https://www.researchgate.net/publication/220320568_Ellipsoidal_Support_Vector_Machines
    Ellipsoidal Support Vector Machines. ... (e-SVM) that uses an ellipsoid center, in the version space, to approximate the Bayes point. ... Ellipsoidal support vector machine formulations.

Utilizing Ellipsoid on Support Vector Machines

    https://www.researchgate.net/publication/4368381_Utilizing_Ellipsoid_on_Support_Vector_Machines
    In this paper we propose a modified framework for support vector machines, called Ellipsoid Support Vector Machines (ESVMs), to improve classification capability.

CiteSeerX — Ellipsoidal support vector machines

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.459.3891
    ellipsoidal support vector machine bayes point efficient batch implementation loss function e-svm optimization framework large-scale datasets sequential minimal optimization ellipsoid center version space maximum volume ellipsoid problem ellipsoidal svm online version sphere center

Two ellipsoid Support Vector Machines, Expert Systems with ...

    https://www.deepdyve.com/lp/elsevier/two-ellipsoid-support-vector-machines-9nJsW6MxQ0
    Dec 15, 2014 · Read "Two ellipsoid Support Vector Machines, Expert Systems with Applications" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.

Support Vector Machine Classification - MATLAB & Simulink

    https://www.mathworks.com/help/stats/support-vector-machine-classification.html
    Train Support Vector Machines Using Classification Learner App. Create and compare support vector machine (SVM) classifiers, and export trained models to make predictions for new data. Support Vector Machines for Binary Classification. Perform binary classification via SVM using separating hyperplanes and kernel transformations.fitcsvm: Train binary support vector machine (SVM) classifier

Utilizing Ellipsoid on Support Vector Machines

    http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4620987
    Abstract: In this paper we propose a modified framework for support vector machines, called ellipsoid support vector machines (ESVMs), to improve classification capability. The principle of ESVMs is to use a minimum ellipsoid to enclose the specific patterns. Utilizing an approximation algorithm for the minimum enclosing ellipsoid problem in computational geometry allow ESVMs provided better ...

Distributed online outlier detection in wireless sensor ...

    https://www.sciencedirect.com/science/article/pii/S1570870512002041
    Distributed online outlier detection in wireless sensor networks using ellipsoidal support vector machine. Author links ... attributes and propose two distributed and online outlier detection techniques based on a hyperellipsoidal one-class support vector machine (SVM). ... The direction of the formed ellipsoid reveals the multivariate nature ...Cited by: 100

Support vector machines (SVMs) Lecture 2

    http://people.csail.mit.edu/dsontag/courses/ml14/slides/lecture2.pdf
    Support Vector Machine (SVM) V. Vapnik Robust to outliers! 1. ... interior point, or ellipsoid . Finding a perfect classifier (when one exists) using linear programming Example of 2-dimensional ... (Hard margin) support vector machines • Example of a convex optimization problem



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