Works matching DE "KERNEL (Mathematics)"
Results: 2145
Reversible Markov kernels and involutions on product spaces.
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- ALEA. Latin American Journal of Probability & Mathematical Statistics, 2024, v. 21, n. 2, p. 1655, doi. 10.30757/ALEA.v21-62
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Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel.
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- Journal of Artificial Intelligence Research, 2021, v. 71, p. 667, doi. 10.1613/jair.1.12904
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Kernel regression, minimax rates and effective dimensionality: Beyond the regular case.
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- Analysis & Applications, 2020, v. 18, n. 4, p. 683, doi. 10.1142/S0219530519500258
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Weighted p-regular kernels for reproducing kernel Hilbert spaces and Mercer Theorem.
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- Analysis & Applications, 2020, v. 18, n. 03, p. 359, doi. 10.1142/S0219530519500179
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Analysis of regularized Nyström subsampling for regression functions of low smoothness.
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- Analysis & Applications, 2019, v. 17, n. 6, p. 931, doi. 10.1142/S0219530519500039
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On meshfree numerical differentiation.
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- Analysis & Applications, 2018, v. 16, n. 5, p. 717, doi. 10.1142/S021953051850001X
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Convergence rates of Kernel Conjugate Gradient for random design regression.
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- Analysis & Applications, 2016, v. 14, n. 6, p. 763, doi. 10.1142/S0219530516400017
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On extension theorems and their connection to universal consistency in machine learning.
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- Analysis & Applications, 2016, v. 14, n. 6, p. 795, doi. 10.1142/S0219530516400029
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Learning rates of regression with -norm loss and threshold.
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- Analysis & Applications, 2016, v. 14, n. 6, p. 809, doi. 10.1142/S0219530516400030
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Reproducing kernel Hilbert spaces of CR functions for the Euclidean motion group.
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- Analysis & Applications, 2015, v. 13, n. 3, p. 331, doi. 10.1142/S021953051450047X
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Solvability of singular integral equations with rotations and degenerate kernels in the vanishing coefficient case.
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- Analysis & Applications, 2015, v. 13, n. 1, p. 1, doi. 10.1142/S0219530514500468
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Weighted norm inequalities for multilinear singular integral operators and applications.
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- Analysis & Applications, 2014, v. 12, n. 3, p. 269, doi. 10.1142/S0219530514500043
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A HAMILTONIAN APPROACH TO THE HEAT KERNEL OF A SUBLAPLACIAN ON S<sup>2n+1</sup>.
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- Analysis & Applications, 2013, v. 11, n. 6, p. -1, doi. 10.1142/S0219530513500358
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Analysing the Linux kernel feature model changes using FMDiff.
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- Software & Systems Modeling, 2017, v. 16, n. 1, p. 55, doi. 10.1007/s10270-015-0472-2
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Deformation of an Elastoplastic Three-Layer Circular Plate in a Temperature Field.
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- Mechanics of Composite Materials, 2019, v. 55, n. 4, p. 503, doi. 10.1007/s11029-019-09829-6
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Fault diagnosis of rolling bearings based on CNN and LSTM networks under mixed load and noise.
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- Multimedia Tools & Applications, 2023, v. 82, n. 28, p. 43543, doi. 10.1007/s11042-023-15325-w
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Modularized composite attention network for continuous music emotion recognition.
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- Multimedia Tools & Applications, 2023, v. 82, n. 5, p. 7319, doi. 10.1007/s11042-022-13577-6
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Bi-directional LSTM with multi-scale dense attention mechanism for hyperspectral image classification.
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- Multimedia Tools & Applications, 2022, v. 81, n. 17, p. 24003, doi. 10.1007/s11042-022-12809-z
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Renewed Looks at the Distribution of a Sum of Independent or Dependent Discrete Random Variables and Related Problems.
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- Methodology & Computing in Applied Probability, 2019, v. 21, n. 3, p. 853, doi. 10.1007/s11009-018-9690-8
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Explicit Density Approximations for Local Volatility Models Using Heat Kernel Expansions.
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- Methodology & Computing in Applied Probability, 2016, v. 18, n. 3, p. 847, doi. 10.1007/s11009-015-9463-6
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Estimation for Discrete-time Semi-Markov Reward Processes: Analysis and Inference.
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- Methodology & Computing in Applied Probability, 2016, v. 18, n. 3, p. 885, doi. 10.1007/s11009-015-9468-1
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CLTs and Asymptotic Variance of Time-Sampled Markov Chains.
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- Methodology & Computing in Applied Probability, 2013, v. 15, n. 1, p. 237, doi. 10.1007/s11009-011-9237-8
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On Estimation of the Intensity Function of a Point Process.
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- Methodology & Computing in Applied Probability, 2012, v. 14, n. 3, p. 567, doi. 10.1007/s11009-011-9244-9
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Hybrid Method of Multiple Kernel Learning and Genetic Algorithm for Forecasting Short-Term Foreign Exchange Rates.
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- Computational Economics, 2015, v. 45, n. 1, p. 49, doi. 10.1007/s10614-013-9407-6
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Multiple Kernel Learning with Fisher Kernels for High Frequency Currency Prediction.
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- Computational Economics, 2013, v. 42, n. 2, p. 217, doi. 10.1007/s10614-012-9317-z
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Self-gravity in curved mesh elements.
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- Celestial Mechanics & Dynamical Astronomy, 2014, v. 118, n. 4, p. 299, doi. 10.1007/s10569-014-9535-x
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Categorification of Persistent Homology.
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- Discrete & Computational Geometry, 2014, v. 51, n. 3, p. 600, doi. 10.1007/s00454-014-9573-x
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Add Isotropic Gaussian Kernels at Own Risk: More and More Resilient Modes in Higher Dimensions.
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- Discrete & Computational Geometry, 2013, v. 49, n. 4, p. 797, doi. 10.1007/s00454-013-9517-x
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Non-uniqueness of Fourier-Mukai kernels.
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- Mathematische Zeitschrift, 2012, v. 272, n. 1/2, p. 577, doi. 10.1007/s00209-011-0950-3
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Application of Kernel Based Machine Learning to the Inversion Problem of Photospheric Magnetic Fields.
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- Solar Physics, 2015, v. 290, n. 10, p. 2693, doi. 10.1007/s11207-015-0781-1
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An Automated Algorithm to Distinguish and Characterize Solar Flares and Associated Sequential Chromospheric Brightenings.
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- Solar Physics, 2013, v. 283, n. 1, p. 97, doi. 10.1007/s11207-011-9843-1
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MULTI-HOP GENERALIZED CORE PERCOLATION ON COMPLEX NETWORKS.
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- Advances in Complex Systems, 2020, v. 23, n. 1, p. N.PAG, doi. 10.1142/S0219525920500010
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Counterexamples to the tilting and (p,r)-filtration conjectures.
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- Journal für die Reine und Angewandte Mathematik, 2020, v. 2020, n. 767, p. 193, doi. 10.1515/crelle-2019-0036
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Heat kernelestimates for an operator with a singular drift and isoperimetricinequalities.
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- Journal für die Reine und Angewandte Mathematik, 2018, v. 2018, n. 736, p. 1, doi. 10.1515/crelle-2015-0026
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The Johnson homomorphism and its kernel.
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- Journal für die Reine und Angewandte Mathematik, 2018, v. 2017, n. 735, p. 109, doi. 10.1515/crelle-2015-0017
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Note on basic features of large time behaviour of heat kernels.
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- Journal für die Reine und Angewandte Mathematik, 2015, v. 2015, n. 708, p. 73, doi. 10.1515/crelle-2013-0070
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Energy inequalities for cutoff functions and some applications.
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- Journal für die Reine und Angewandte Mathematik, 2015, v. 2015, n. 699, p. 183, doi. 10.1515/crelle-2013-0009
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The kernel of the reciprocity map of varieties over local fields.
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- Journal für die Reine und Angewandte Mathematik, 2015, v. 2015, n. 698, p. 55, doi. 10.1515/crelle-2012-0122
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Singular integrals on self-similar sets and removability for Lipschitz harmonic functions in Heisenberg groups.
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- Journal für die Reine und Angewandte Mathematik, 2014, v. 2014, n. 691, p. 29, doi. 10.1515/crelle-2012-0078
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Descente galoisienne sur le groupe de Brauer.
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- Journal für die Reine und Angewandte Mathematik, 2013, v. 2013, n. 682, p. 141, doi. 10.1515/crelle-2012-0039
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- Article
Factorization of Darboux—Laplace Transformations for Discrete Hyperbolic Operators.
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- Theoretical & Mathematical Physics, 2019, v. 199, n. 2, p. 621, doi. 10.1134/S0040577919050015
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Fusion transformations in Liouville theory.
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- Theoretical & Mathematical Physics, 2016, v. 189, n. 2, p. 1574, doi. 10.1134/S0040577916110040
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- Article
Wrinkling in sandwich panels with bi‐modular core.
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- ZAMM -- Journal of Applied Mathematics & Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 2020, v. 100, n. 1, p. N.PAG, doi. 10.1002/zamm.201900137
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Spinning Mellin Bootstrap: Conformal Partial Waves, Crossing Kernels and Applications.
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- Fortschritte der Physik / Progress of Physics, 2018, v. 66, n. 8/9, p. 1, doi. 10.1002/prop.201800038
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Detecting Election Fraud from Irregularities in Vote-Share Distributions.
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- Political Analysis, 2017, v. 25, n. 1, p. 41, doi. 10.1017/pan.2016.9
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- Article
Assessing road roughness using UAV-derived dense point clouds.
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- Mersin Photogrammetry Journal, 2023, v. 5, n. 2, p. 75, doi. 10.53093/mephoj.1358902
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Statistical Assessment of Estimated Transformations in Observed-Score Equating.
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- Journal of Educational Measurement, 2016, v. 53, n. 1, p. 106, doi. 10.1111/jedm.12103
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Improving the Bandwidth Selection in Kernel Equating.
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- Journal of Educational Measurement, 2014, v. 51, n. 3, p. 223, doi. 10.1111/jedm.12044
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Mixture Modeling on Related Samples by ψ-Stick Breaking and Kernel Perturbation.
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- Bayesian Analysis, 2019, v. 14, n. 1, p. 161, doi. 10.1214/18-BA1106
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Nonparametric Goodness of Fit via Cross-Validation Bayes Factors.
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- Bayesian Analysis, 2017, v. 12, n. 3, p. 653, doi. 10.1214/16-BA1018
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