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Ergodicity and regime recoverability in finite Markov-modulated random walks. [PDF]
Sci RepPambukyan A, Saudagar AKJ, Kumar S.
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Quantum Angle-distance kernel for ECG classification and anomaly detection: a quantum-inspired framework for biomedical signal analysis. [PDF]
BioData MinSalehi A, Goudarzi HR, Heydarian A.
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A pipeline leakage detection method for boiler energy operation system using enhanced SVM-based acoustic emission technology. [PDF]
Sci RepYuan T, Zhang X, Zhang Q, Tan M.
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Corn Kernel Segmentation and Damage Detection Using a Hybrid Watershed-Convex Hull Approach. [PDF]
FoodsShen Y, Wang W, Luo X, Zou F, Yin Z.
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A coupling model of transcranial magnetic stimulation induced electric fields to neural state variables. [PDF]
PLoS Comput BiolMiller A, Knösche TR, Weise K.
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2015
What the reader should know to understand this chapter • Notions of calculus. • Chapters 5, 6, and 7. • Although the reading of Appendix D is not mandatory, it represents an advantage for the chapter understanding.
CAMASTRA, Francesco +1 more
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What the reader should know to understand this chapter • Notions of calculus. • Chapters 5, 6, and 7. • Although the reading of Appendix D is not mandatory, it represents an advantage for the chapter understanding.
CAMASTRA, Francesco +1 more
openaire +2 more sources
2007
During the past decade, a major revolution has taken place in pattern-recognition technology with the introduction of rigorous and powerful mathematical approaches in problem domains previously treated with heuristic and less efficient techniques.
Cristianini, N. +2 more
openaire +1 more source
During the past decade, a major revolution has taken place in pattern-recognition technology with the introduction of rigorous and powerful mathematical approaches in problem domains previously treated with heuristic and less efficient techniques.
Cristianini, N. +2 more
openaire +1 more source
The Reproducing Kernel Method. II
Journal of Mathematical Physics, 1972The explicit solution of the Cauchy problem ∂N/∂t = HN by means of reproducing kernels is obtained under various forms: conformal mapping expansions, Sheffer polynomial expansion, polynomials orthogonal on a family of curves; the convergence is studied for both Szegö and Bergman kernels.
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Fully adaptive kernel‐based methods
International Journal for Numerical Methods in Engineering, 2018SummaryBy exploiting the meshless property of kernel‐based collocation methods, we propose a fully automatic numerical recipe for solving interpolation/regression and boundary value problems adaptively. The proposed algorithm is built upon a least squares collocation formulation on some quasi‐random point sets with low discrepancy.
Leevan Ling, Sung Nok Chiu
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