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Polynomial Wigner–Ville distribution
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} , and K z g ( t , τ ) {\displaystyle K_{z}^{g}(t,\tau )} is the polynomial kernel given by K z g ( t , τ ) = ∏ k = − q 2 q 2 [ z ( t + c k τ ) ] b kProbabilistic classification (1,179 words) [view diff] exact match in snippet view article find links to article
tasks. It is a type of kernel machine that uses an inhomogeneous polynomial kernel. Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome (2009). TheSteiner tree problem (4,434 words) [view diff] exact match in snippet view article find links to article
problem. Furthermore, it is known that the problem does not admit a polynomial kernel unless coNP ⊆ NP/poly {\displaystyle {\textsf {coNP}}\subseteq {\textsfWiener series (1,191 words) [view diff] exact match in snippet view article find links to article
Schölkopf, B. (2006). "A unifying view of Wiener and Volterra theory and polynomial kernel regression". Neural Computation. 18 (12): 3097–3118. doi:10.1162/necoLeast-squares support vector machine (3,361 words) [view diff] exact match in snippet view article find links to article
K ( x , x i ) = x i T x , {\displaystyle K(x,x_{i})=x_{i}^{T}x,} Polynomial kernel of degree d {\displaystyle d} : K ( x , x i ) = ( 1 + x i T x / cKernelization (2,852 words) [view diff] exact match in snippet view article find links to article
{\displaystyle f=k^{O(1)}} , it is said that L {\displaystyle L} admits a polynomial kernel. Similarly, for f = O ( k ) {\displaystyle f={O(k)}} , the problemLocal regression (5,830 words) [view diff] case mismatch in snippet view article find links to article
Wikidata Q132691957. Jianqing Fan; Nancy E. Heckman; Matt Wand (March 1995). "Local Polynomial Kernel Regression for Generalized Linear Models and Quasi-Likelihood Functions"Big O notation (9,104 words) [view diff] case mismatch in snippet view article find links to article
) {\displaystyle {\mathcal {O}}^{*}(2^{p})} -Time Algorithm and a Polynomial Kernel, Algorithmica 80 (2018), no. 12, 3844–3860. Seidel, Raimund (1991)Regularized least squares (4,894 words) [view diff] exact match in snippet view article find links to article
( x , z ) = x T z , {\displaystyle K(x,z)=x^{\mathsf {T}}z,} the polynomial kernel, inducing the space of polynomial functions of order d {\displaystyleVolterra series (4,305 words) [view diff] exact match in snippet view article find links to article
Schölkopf (2006). "A unifying view of Wiener and Volterra theory and polynomial kernel regression". Neural Computation. 18 (12): 3097–3118. doi:10.1162/necoComputer-aided diagnosis (7,875 words) [view diff] exact match in snippet view article find links to article
component analysis (PCA) or independent component analysis decomposition. Polynomial kernel SVM has been shown to achieve good accuracy. The polynomial KSVM performsKernel embedding of distributions (9,770 words) [view diff] exact match in snippet view article find links to article
embedding kernels k {\displaystyle k} (e.g. the Gaussian kernel or polynomial kernel), or can be accurately empirically estimated from i.i.d. samples {