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- Polynomial_kernel abstract "In machine learning, the polynomial kernel is a kernel function commonly used with support vector machines (SVMs) and other kernelized models, that represents the similarity of vectors (training samples) in a feature space over polynomials of the original variables, allowing learning of non-linear models.Intuitively, the polynomial kernel looks not only at the given features of input samples to determine their similarity, but also combinations of these. In the context of regression analysis, such combinations are known as interaction features. The (implicit) feature space of a polynomial kernel is equivalent to that of polynomial regression, but without the combinatorial blowup in the number of parameters to be learned. When the input features are binary-valued (booleans), then the features correspond to logical conjunctions of input features.".
- Polynomial_kernel thumbnail Svm_8_polinomial.JPG?width=300.
- Polynomial_kernel wikiPageID "37619227".
- Polynomial_kernel wikiPageRevisionID "600314201".
- Polynomial_kernel hasPhotoCollection Polynomial_kernel.
- Polynomial_kernel subject Category:Kernel_methods_for_machine_learning.
- Polynomial_kernel comment "In machine learning, the polynomial kernel is a kernel function commonly used with support vector machines (SVMs) and other kernelized models, that represents the similarity of vectors (training samples) in a feature space over polynomials of the original variables, allowing learning of non-linear models.Intuitively, the polynomial kernel looks not only at the given features of input samples to determine their similarity, but also combinations of these.".
- Polynomial_kernel label "Polynomial kernel".
- Polynomial_kernel sameAs m.0nd466c.
- Polynomial_kernel sameAs Q7226642.
- Polynomial_kernel sameAs Q7226642.
- Polynomial_kernel wasDerivedFrom Polynomial_kernel?oldid=600314201.
- Polynomial_kernel depiction Svm_8_polinomial.JPG.
- Polynomial_kernel isPrimaryTopicOf Polynomial_kernel.
