Search Results - Kernel functions in one complex variable and publications

The C-property for slice regular functions and applications to the Bergman space by Colombo, Fabrizio, González-Cervantes, J. Oscar, Sabadini, Irene

“…This article has a twofold purpose: on one hand, we deepen the study of slice regular functions by studying their behaviour with respect to the so-called C-property and anti-C-property…”
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Bergman Kernels and Equilibrium Measures for Line Bundles over Projective Manifolds by Berman, Robert J.

“…Let L be a holomorphic line bundle over a compact complex projective Hermitian manifold X…”
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Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis by Böhmer, Wendelin, Grünewälder, Steffen, Nickisch, Hannes, Obermayer, Klaus

“… We make use of the kernel trick in combination with sparsification to develop a kernelized SFA algorithm which provides a powerful function class for large data sets…”
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Cross-Validation and the Estimation of Conditional Probability Densities by Hall, Peter, Racine, Jeff, Li, Qi

“…) for previous clients. Choosing appropriate smoothing parameters for this problem can be tricky, not in the least because plug-in rules take a particularly complex form in the case of mixed data…”
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Machine learning-based predictive models for equivalent damping ratio of RC shear walls by Yaghoubi, Siamak Tahaei, Deger, Zeynep Tuna, Taskin, Gulsen, Sutcu, Fatih

“…% lateral drift ratio. Five different machine learning models, namely, Robust Linear Regression, K-Nearest Neighbor Regression, Kernel Ridge Regression, Support Vector Regression, and Gaussian process regression…”
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A nested heuristic for parameter tuning in Support Vector Machines by Carrizosa, Emilio, Martín-Barragán, Belén, Romero Morales, Dolores

“… Complex models, involving many parameters, can be seen as extensions of simpler and easy-to-tune models, yielding a nested sequence of models of increasing complexity…”
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Kernel Methods for Pattern Analysis by Shawe-Taylor, John, Cristianini, Nello

“…Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g…”
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Advances in analysis: the legacy of Elias M. stein by Fefferman, Charles, Ionescu, Alexandru D, Phong, D. H, Wainger, Stephen

“…Princeton University's Elias Stein was the first mathematician to see the profound interconnections that tie classical Fourier analysis to several complex variables and representation theory…”
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A statistical framework of data fusion for spatial prediction of categorical variables by Cao, Guofeng, Yoo, Eun-hye, Wang, Shaowen

“… variables while accounting for data heterogeneities and complex spatial dependencies. In this framework, we discuss the spatial prediction of categorical…”
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Reproducing kernel and Galerkin’s matrix for the exterior of an ellipsoid: Application in gravity field studies by Holota, Petr

“… Subsequently a weak formulation of Neumann’s problem is considered with emphasis on a particular choice of function basis generated by the reproducing kernel of the respective Hilbert space of functions…”
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Multiple instance learning via Gaussian processes by Kim, Minyoung, De la Torre, Fernando

“… In this paper we introduce a novel MIL algorithm using Gaussian processes (GP). The bag labeling protocol of the MIL can be effectively modeled by the sigmoid likelihood through the max function over GP latent variables…”
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Stochastic Simulation of Patterns Using Distance-Based Pattern Modeling by Honarkhah, Mehrdad, Caers, Jef

“…The advent of multiple-point geostatistics (MPS) gave rise to the integration of complex subsurface geological structures and features into the model by the concept of training images…”
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Fault Detection and Diagnosis for Sensor in Complex Control System Based on KPCA by Wang, Qiu Yan, Xu, Ping, Wang, Kai, Wang, You Cai

“… The kernel principal component analysis (KPCA) effectively captures the nonlinear relationship of the process variables, which computes principal component in high…”
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Generalized Krein Formula, Determinants, and Selberg Zeta Function in Even Dimension by Guillarmou, Colin

“… The main objects we construct for an AH manifold (X, g) are, on the one hand, a natural spectral function ξ for the Laplacian$\Delta _g…”
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Second-Order Subelliptic Operators on Lie Groups I: Complex Uniformly Continuous Principal Coefficients by ter Elst, A. F. M., Robinson, Derek W.

“… Moreover, the kernels are Holder continuous and for each [nu] [is an element of][left angle bracket]0, 1[right angle bracket] and [kappa] > 0 one has estimates…”
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Weighted Norm Inequalities for de Branges-Rovnyak Spaces and Their Applications by Baranov, Anton, Fricain, Emmanuel, Mashreghi, Javad

“…Let H(b) denote the de Branges-Rovnyak space associated with a function b in the unit ball of$H^\infty (\mathbb{C…”
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An updated review of Goodness-of-Fit tests for regression models by González-Manteiga, Wenceslao, Crujeiras, Rosa M.

“… for density and distribution, until the most recent advances for complex data and models. Far from being exhaustive, the contents in this paper are focused on two main classes of tests statistics…”
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Weighted maximal regularity estimates and solvability of non-smooth elliptic systems I by Auscher, Pascal, Axelsson, Andreas

“…We develop new solvability methods for divergence form second order, real and complex, elliptic systems above Lipschitz graphs, with L 2 boundary data…”
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Weighted -integral representations of smooth functions in the unit ball of C n: An International Journal by Karapetyan, A.H.

“… The formulas presented in this article are interesting even for n = 1, i.e. for functions of one complex variable…”
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Prescriptive Predictors of Mindfulness Ecological Momentary Intervention for Social Anxiety Disorder: Machine Learning Analysis of Randomized Controlled Trial Data by Zainal, Nur Hani, Tan, Hui Han, Hong, Ryan Yee Shiun, Newman, Michelle Gayle

“… Nevertheless, widely used classical regression methods might not optimally capture complex nonlinear associations and interactions…”
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