Works matching DE "KERNEL functions"
Results: 5000
Review on State of Art of Smoothed Particle Hydrodynamics Method and its Advances in Solid Dynamics.
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- Tanzania Journal of Engineering & Technology, 2024, v. 43, n. 4, p. 45, doi. 10.52339/tjet.v43i4.972
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Accurate identification of single-cell types via correntropy-based Sparse PCA combining hypergraph and fusion similarity.
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- Journal of Applied Statistics, 2025, v. 52, n. 2, p. 356, doi. 10.1080/02664763.2024.2369955
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PERIODIC TRAVELING WAVES AND ASYMPTOTIC SPREADING OF A MONOSTABLE REACTION-DIFFUSION EQUATIONS WITH NONLOCAL EFFECTS.
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- Electronic Journal of Differential Equations, 2021, n. 1-104, p. 1
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Efficient Kernel-based Two-Dimensional Principal Component Analysis for Smile Stages Recognition.
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- Telkomnika, 2012, v. 10, n. 1, p. 113, doi. 10.12928/telkomnika.v10i1.766
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OPERATORS IN L(L<sub>a</sub>²(D)) AND THE ASSOCIATED SYMBOLS.
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- Annals: Series on Mathematics & its Applications, 2024, v. 16, n. 1, p. 97, doi. 10.56082/annalsarscimath.2024.1.97
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Adaptive residual subsampling algorithms for kernel interpolation based on cross validation techniques.
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- Constructive Mathematical Analysis, 2024, v. 7, p. 76, doi. 10.33205/cma.1518603
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Sparse Representation for Detection of Microcalcification Clusters.
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- Telkomnika, 2012, v. 10, n. 3, p. 545, doi. 10.12928/telkomnika.v10i3.835
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Supervised kernel-based multi-modal Bhattacharya distance learning for imbalanced data classification.
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- Knowledge & Information Systems, 2025, v. 67, n. 1, p. 247, doi. 10.1007/s10115-024-02223-2
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Simultaneous nonvanishing of central L-values with large level.
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- Forum Mathematicum, 2025, v. 37, n. 2, p. 503, doi. 10.1515/forum-2024-0014
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On the geometric trace of a generalized Selberg trace formula.
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- Forum Mathematicum, 2025, v. 37, n. 2, p. 547, doi. 10.1515/forum-2023-0344
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About the supports in the Fredholm convolution.
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- Journal of Inverse & Ill-Posed Problems, 2025, v. 33, n. 1, p. 11, doi. 10.1515/jiip-2024-0015
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NONLINEAR APPROXIMATION BY N-DIMENSIONAL SAMPLING TYPE DISCRETE OPERATORS WITH APPLICATIONS.
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- Communications Series A1 Mathematics & Statistics, 2024, v. 73, n. 4, p. 1134, doi. 10.31801/cfsuasmas.1503136
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Kernel function-based primal-dual interior-point methods for linear optimization.
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- Palestine Journal of Mathematics, 2024, v. 13, n. 4, p. 261
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A Brief Introduction to the Grey Machine Learning.
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- Journal of Grey System, 2019, v. 31, n. 1, p. 1
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GM(1,1) Cosine Self-Memory model and its application.
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- Journal of Grey System, 2015, v. 27, n. 3, p. 213
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A Novel Interval Grey Number Prediction Model Given Kernel and Grey Number Band.
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- Journal of Grey System, 2014, v. 26, n. 3, p. 69
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Does foreign ownership matter for the innovative activities of enterprises?
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- International Economics & Economic Policy, 2009, v. 6, n. 1, p. 41, doi. 10.1007/s10368-009-0126-3
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MEASURING SOCIAL PREFERENCES IN GROUPS VERSUS AS INDIVIDUALS: INCOME INEQUALITY AVERSION USING THE LEAKY-BUCKET METHOD.
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- Journal of Applied Economics & Policy, 2010, v. 29, n. 1, p. 1
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A novel time–frequency transform for broadband Lamb waves dispersion characteristics analysis.
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- Structural Health Monitoring, 2021, v. 20, n. 6, p. 3056, doi. 10.1177/1475921720979283
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A machine-learning approach for structural damage detection using least square support vector machine based on a new combinational kernel function.
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- Structural Health Monitoring, 2016, v. 15, n. 3, p. 302, doi. 10.1177/1475921716639587
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A Fast and Automatic Kernel-based Classification Scheme: GDA+SVM or KNWFE+SVM.
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- Journal of Information Science & Engineering, 2018, v. 34, n. 1, p. 103, doi. 10.6688/JISE.2018.34.1.7
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An Online Approach for Kernel-Level Keylogger Detection and Defense.
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- Journal of Information Science & Engineering, 2017, v. 33, n. 2, p. 445
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An Analytical Approach to Fast Parameter Selection of Gaussian RBF Kernel for Support Vector Machine.
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- Journal of Information Science & Engineering, 2015, v. 31, n. 2, p. 691
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MrKIP: Rootkit Recognition With Kernel Function Invocation Pattern.
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- Journal of Information Science & Engineering, 2015, v. 31, n. 2, p. 455
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SPAD: Software Protection Through Anti-Debugging Using Hardware-Assisted Virtualization.
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- Journal of Information Science & Engineering, 2012, v. 28, n. 5, p. 813
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An Automatic Method for Selecting the Parameter of the Normalized Kernel Function to Support Vector Machines.
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- Journal of Information Science & Engineering, 2012, v. 28, n. 1, p. 1
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A Robust Kernel-Based Solution to Control-Hijacking Buffer Overflow Attacks.
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- Journal of Information Science & Engineering, 2011, v. 27, n. 3, p. 869
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A Server-side Pre-linking Mechanism for Updating Embedded Operating System Dynamically.
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- Journal of Information Science & Engineering, 2010, v. 26, n. 1, p. 39
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Enhanced TV-based Quotient Image Model and Its Application to Face Recognition with One Sample per Subject Employing Subspace Methods.
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- Journal of Information Science & Engineering, 2010, v. 26, n. 1, p. 279
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Variant Methods of Reduced Set Selection for Reduced Support Vector Machines.
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- Journal of Information Science & Engineering, 2010, v. 26, n. 1, p. 182
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Moduli of smoothness, K-functionals and Jackson-type inequalities associated with kernel function approximation in learning theory.
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- Analysis & Applications, 2024, v. 22, n. 6, p. 981, doi. 10.1142/S021953052450009X
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Iterative kernel regression with preconditioning.
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- Analysis & Applications, 2024, v. 22, n. 6, p. 1095, doi. 10.1142/S0219530524500131
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Distributed robust regression with correntropy losses and regularization kernel networks.
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- Analysis & Applications, 2024, v. 22, n. 4, p. 689, doi. 10.1142/S0219530523500355
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Distributed learning with indefinite kernels.
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- Analysis & Applications, 2019, v. 17, n. 6, p. 947, doi. 10.1142/S021953051850032X
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Error bounds for learning the kernel.
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- Analysis & Applications, 2016, v. 14, n. 6, p. 849, doi. 10.1142/S0219530516400054
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Learning rates for the risk of kernel-based quantile regression estimators in additive models.
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- Analysis & Applications, 2016, v. 14, n. 3, p. 449, doi. 10.1142/S0219530515500050
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THE POSITIVITY OF THE HEAT KERNEL ON HEISENBERG GROUP.
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- Analysis & Applications, 2013, v. 11, n. 5, p. -1, doi. 10.1142/S021953051350019X
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INDEFINITE KERNEL NETWORK WITH DEPENDENT SAMPLING.
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- Analysis & Applications, 2013, v. 11, n. 5, p. -1, doi. 10.1142/S0219530513500206
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A DIRECT SOLUTION TO THE FOKKER–PLANCK EQUATION FOR EXPONENTIAL BROWNIAN FUNCTIONALS.
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- Analysis & Applications, 2010, v. 8, n. 3, p. 287, doi. 10.1142/S0219530510001655
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VECTOR VALUED REPRODUCING KERNEL HILBERT SPACES OF INTEGRABLE FUNCTIONS AND MERCER THEOREM.
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- Analysis & Applications, 2006, v. 4, n. 4, p. 377, doi. 10.1142/S0219530506000838
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Estimating the Approximation Error in Learning Theory.
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- Analysis & Applications, 2003, v. 1, n. 1, p. 17, doi. 10.1142/S0219530503000089
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MORGAN: a modeling recommender system based on graph kernel.
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- Software & Systems Modeling, 2023, v. 22, n. 5, p. 1427, doi. 10.1007/s10270-023-01102-8
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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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Optical solitonic structures with singular and non-singular kernel for nonlinear fractional model in quantum mechanics.
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- Optical & Quantum Electronics, 2023, v. 55, n. 3, p. 1, doi. 10.1007/s11082-022-04488-9
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Infrared small target detection based on divergence operator and nonlinear classifier.
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- Optical & Quantum Electronics, 2021, v. 53, n. 7, p. 1, doi. 10.1007/s11082-021-03041-4
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A THz spectroscopy nondestructive identification method for transgenic cotton seed based on GA-SVM.
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- Optical & Quantum Electronics, 2015, v. 47, n. 2, p. 313, doi. 10.1007/s11082-014-9914-2
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Kernel clustering using a hybrid memetic algorithm.
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- Natural Computing, 2013, v. 12, n. 4, p. 605, doi. 10.1007/s11047-013-9365-x
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An immune system inspired clustering and classification method to detect critical areas in electrical power networks.
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- Natural Computing, 2011, v. 10, n. 1, p. 305, doi. 10.1007/s11047-010-9204-2
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HFBO-KSELM: Hybrid Flash Butterfly Optimization-based Kernel Softplus Extreme Learning Machine for Classification of Chronic Kidney Disease.
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- Journal of Supercomputing, 2023, v. 79, n. 15, p. 17146, doi. 10.1007/s11227-023-05337-6
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Small unmanned helicopter modeling method based on a hybrid kernel function PSO-LSSVM.
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- Journal of Supercomputing, 2023, v. 79, n. 12, p. 13889, doi. 10.1007/s11227-023-05211-5
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