The Convergence Rate for a
It is known that in the field of learning theory based on reproducing kernel Hilbert spaces the upper bounds estimate for a -functional is needed.
Xiang Dao-Hong, Sheng Bao-Huai
doaj
Conditional Exponential Convex Functions on White Noise Spaces
This paper seeks to present the fundamental features of the category of conditional exponential convex functions (CECFs). Additionally, the study of continuous CECFs contributes to the characterization of convolution semigroups.
Ahmed. M. Zabel +3 more
doaj +1 more source
Randomized Quadrature with Periodic Kernels: Applications to Cavalieri Volume Estimation
This paper studies randomized algorithms for unbiased numerical integration of d-dimensional periodic functions using kernel-based quadrature rules, with particular emphasis on rules induced by periodic radial basis function (RBF) kernels.
Francisco Javier Soto Sánchez
doaj +1 more source
Structured functional additive regression in reproducing kernel Hilbert spaces. [PDF]
Zhu H, Yao F, Zhang HH.
europepmc +1 more source
Combining genomic and genealogical information in a reproducing kernel Hilbert spaces regression model for genome-enabled predictions in dairy cattle. [PDF]
Rodríguez-Ramilo ST +2 more
europepmc +1 more source
Reproducing kernels in separable Hilbert spaces [PDF]
openaire +3 more sources
Utilizing Kernel Adaptive Filters for Speech Enhancement within the ALE Framework
Performance of the linear models, widely used within the framework of adaptive line enhancement (ALE), deteriorates dramatically in the presence of non-Gaussian noises. On the other hand, adaptive implementation of nonlinear models, e.g.
G. Alipoor
doaj
Detection of Interaction Effects in a Nonparametric Concurrent Regression Model. [PDF]
Pan R, Wang Z, Wu Y.
europepmc +1 more source
Deep Hybrid Multimodal Biometric Recognition System Based on Features-Level Deep Fusion of Five Biometric Traits. [PDF]
Safavipour MH, Doostari MA, Sadjedi H.
europepmc +1 more source

