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A least square point of view to reproducing kernel methods to solve functional equations
Ferreira, José Claudinei, Baquião, Maria Caruline
Published in Applied mathematics and computation (15.09.2019)
Published in Applied mathematics and computation (15.09.2019)
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Adaptive Kernel Methods Using the Balancing Principle
De Vito, E., Pereverzyev, S., Rosasco, L.
Published in Foundations of computational mathematics (01.08.2010)
Published in Foundations of computational mathematics (01.08.2010)
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Classifying NIR spectra of textile products with kernel methods
Langeron, Y., Doussot, M., Hewson, D.J., Duchêne, J.
Published in Engineering applications of artificial intelligence (01.04.2007)
Published in Engineering applications of artificial intelligence (01.04.2007)
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Solving and learning nonlinear PDEs with Gaussian processes
Chen, Yifan, Hosseini, Bamdad, Owhadi, Houman, Stuart, Andrew M.
Published in Journal of computational physics (15.12.2021)
Published in Journal of computational physics (15.12.2021)
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Learning nonparametric ordinary differential equations from noisy data
Lahouel, Kamel, Wells, Michael, Rielly, Victor, Lew, Ethan, Lovitz, David, Jedynak, Bruno M.
Published in Journal of computational physics (15.06.2024)
Published in Journal of computational physics (15.06.2024)
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EEG-Based Music Emotion Prediction Using Supervised Feature Extraction for MIDI Generation
Gomez-Morales, Oscar, Perez-Nastar, Hernan, Álvarez-Meza, Andrés Marino, Torres-Cardona, Héctor, Castellanos-Dominguez, Germán
Published in Sensors (Basel, Switzerland) (01.03.2025)
Published in Sensors (Basel, Switzerland) (01.03.2025)
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Electroencephalography-Based Pain Detection Using Kernel Spectral Connectivity Network with Preserved Spatio-Frequency Interpretability
Buitrago-Osorio, Santiago, Gil-González, Julian, Álvarez-Meza, Andrés Marino, Cardenas-Peña, David, Orozco-Gutierrez, Alvaro
Published in Applied sciences (01.05.2025)
Published in Applied sciences (01.05.2025)
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Kernel Methods for Riemannian Analysis of Robust Descriptors of the Cerebral Cortex
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kTWAS: integrating kernel machine with transcriptome-wide association studies improves statistical power and reveals novel genes
Cao, Chen, Kwok, Devin, Edie, Shannon, Li, Qing, Ding, Bowei, Kossinna, Pathum, Campbell, Simone, Wu, Jingjing, Greenberg, Matthew, Long, Quan
Published in Briefings in bioinformatics (20.07.2021)
Published in Briefings in bioinformatics (20.07.2021)
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