Automatic Model Selection For Support Vector Machines

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Model Selection for Support Vector Machines Request PDF

    https://www.researchgate.net/publication/2461310_Model_Selection_for_Support_Vector_Machines
    Model Selection for Support Vector Machines. ... In this paper we propose an automatic and effective model selection method. It is based on evolutionary computation algorithms and use recall ...

Automatic Model Selection for Support Vector Machines (2000)

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.32.5059
    CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Automatic model selection is an important issue to make support vector machines (SVM) practically useful. Most existing approaches use the leave-one-out (loo) related estimators. As nding the loo rate is time consuming, researchers exploit dierent techniques to approximate it.

Support-vector machine - Wikipedia

    https://en.wikipedia.org/wiki/Support-vector_machine
    In machine learning, support-vector machines (SVMs, also support-vector networks) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis.Given a set of training examples, each marked as belonging to one or the other of two categories, an SVM training algorithm builds a model that assigns new examples to one category ...

Model selection for support vector machine classification ...

    https://www.sciencedirect.com/science/article/pii/S0925231203003758
    We address the problem of model selection for Support Vector Machine (SVM) classification. For fixed functional form of the kernel, model selection amounts to tuning kernel parameters and the slack penalty coefficient C.We begin by reviewing a recently developed probabilistic framework for SVM classification.Cited by: 206

Model selection for support vector machines via uniform design

    http://www.personal.psu.edu/users/j/x/jxz203/lin/Lin_pub/2007_COMSTAT.pdf
    model selection. A nested uniform design (UD) methodology is proposed for ef cient, robust and automatic model selection for support vector machines (SVMs). The proposed method is applied to select the candidate set of parameter combinations and carry

Model Selection for Support Vector Machines via Uniform …

    https://dsmilab.github.io/Yuh-Jye-Lee/assets/file/publications/journal_papers/J14_Model%20Selection%20for%20Support%20Vector%20Machines%20via%20Uniform%20Design.pdf
    formance in a learning task is the so-called model selection. A nested uniform design (UD) methodology is proposed for efficient, robust and automatic model selection for support vector machines (SVMs). The proposed method is applied to select the candidate set of parameter combinations and carry out a k-fold cross-validation to



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