Results 41 to 50 of about 1,581,096 (371)
On Hermitian separability of the next-to-leading order BFKL kernel for the adjoint representation of the gauge group in the planar N = 4 SYM [PDF]
, 2015 We analyze a modification of the BFKL kernel for the adjoint representation of the colour group in the maximally supersymmetric (N=4) Yang-Mills theory in the limit of a large number of colours, related to the modification of the eigenvalues of the ...
Fadin, V. S., Fiore, R.
core +2 more sources
An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression
, 1992 Nonparametric regression is a set of techniques for estimating a regression curve without making strong assumptions about the shape of the true regression function.
N. Altman
semanticscholar +1 more source
Some new Grüss inequalities associated with generalized fractional derivative
AIMS Mathematics, 2023 In this paper, we prove several new integral inequalities for the k-Hilfer fractional derivative operator, which is a fractional calculus operator. As a result, we have a whole new set of fractional integral inequalities.
Sajid Iqbal +4 more
doaj +1 more source
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
, 2000 From the publisher: This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory.
N. Cristianini, J. Shawe-Taylor
semanticscholar +1 more source
Distributions on partitions, point processes, and the hypergeometric kernel
, 1999 We study a 3-parametric family of stochastic point processes on the one-dimensional lattice originated from a remarkable family of representations of the infinite symmetric group.
Borodin, Alexei, Olshanski, Grigori
core +1 more source
Kernel Mean Embedding of Distributions: A Review and Beyonds [PDF]
Found. Trends Mach. Learn., 2016 A Hilbert space embedding of a distribution---in short, a kernel mean embedding---has recently emerged as a powerful tool for machine learning and inference.
Krikamol Muandet +3 more
semanticscholar +1 more source
Computation, 2022 This study aims at developing models in analyzing the results of proficiency testing (PT) schemes for a limited number of participants. The models can determine the best estimators of location and dispersion using unsatisfactory results as a criterion by
Dimitris Tsamatsoulis
doaj +1 more source
On the kernel of holonomy [PDF]
Publicacions Matemà tiques, 1996 A connection on a principal $G$-bundle may be identified with a smooth group morphism $\Cal H:\Cal G\Cal L^{\infty}(M)\rightarrow G$, called a holonomy, where $\Cal G\Cal L^{\infty}(M)$ is a group of equivalence classes of loops on the base $M$. The present article focuses on the kernel of this morphism, which consists of the classes of loops along ...
openaire +5 more sources
Canonical kernels versus constructible kernels [PDF]
Rocky Mountain Journal of Mathematics, 2019 no ...
openaire +4 more sources
Response of Maize Crop to Spatial Arrangement and Staggered Interseeding of Haricot Bean
International Journal of Environment, 2014 Field studies conducted to determine the effects of intercrop row arrangements and staggered intercropping of haricot bean (Phaseolus vulgaris L.) on the performances of maize (Zea mays L.) crop at Hallaba and Taba areas in 2013 cropping season, southern
Tamiru Hirpa
doaj +1 more source