Supervised Kernel Principal Component Analysis by Most Expressive Feature Reordering by Krzysztof Ślot, Krzysztof Adamiak, Piotr Duch, Dominik Żurek

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Kernel regression on matrix patterns by Povilas Daniušis, Pranas Vaitkus

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Locally-Scaled Kernels and Confidence Voting by Elizabeth Hofer, Martin v. Mohrenschildt

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Generalization and Properties of the Neural Response by Bouvrie, Jake, Poggio, Tomaso, Rosasco, Lorenzo, Smale, Steve, Wibisono, Andre

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Causal reasoning and meta learning using kernel mean embeddings by Ton, JF

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Kernel Geometric Mean Metric Learning by Zixin Feng, Teligeng Yun, Yu Zhou, Ruirui Zheng, Jianjun He

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A Novel Boolean Kernels Family for Categorical Data by Mirko Polato, Ivano Lauriola, Fabio Aiolli

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Kernels for Vector-Valued Functions: a Review by Alvarez, Mauricio A., Rosasco, Lorenzo, Lawrence, Neil D.

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Bandwidth Selection Problem in Nonparametric Functional Regression by Daniela Kuruczová, Jan Koláček

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Improvement of variables interpretability in kernel PCA by Mitja Briscik, Marie-Agnès Dillies, Sébastien Déjean

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A Clustering Algorithm Based on an Ensemble of Dissimilarities: An Application in the Bioinformatics Domain by Manuel Martín Merino, Alfonso José López Rivero, Vidal Alonso, Marcelo Vallejo, Antonio Ferreras

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Learning adaptive representations for entity recognition in the biomedical domain by Ivano Lauriola, Fabio Aiolli, Alberto Lavelli, Fabio Rinaldi

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Towards an affordable magnetomyography instrumentation and low model complexity approach for labour imminency prediction using a novel multiresolution analysis by Ejay Nsugbe, Ibrahim Sanusi

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Improving Speaker Recognition in Environmental Noise With Adaptive Filter by Vinicius Almeida Dos Santos, Wemerson Delcio Parreira, Anita Maria Da Rocha Fernandes, Raul Garcia Ovejero, Valderi Reis Quietinho Leithardt

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Rate-Distortion Bounds for Kernel-Based Distortion Measures by Kazuho Watanabe

Subjects: “…kernel methods…”
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Solving 3-D Gray–Scott Systems with Variable Diffusion Coefficients on Surfaces by Closest Point Method with RBF-FD by Marzieh Raei, Salvatore Cuomo, Giovanni Colecchia, Gerardo Severino

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EEG-Based Music Emotion Prediction Using Supervised Feature Extraction for MIDI Generation by Oscar Gomez-Morales, Hernan Perez-Nastar, Andrés Marino Álvarez-Meza, Héctor Torres-Cardona, Germán Castellanos-Dominguez

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Kernel-Based Independence Tests for Causal Structure Learning on Functional Data by Felix Laumann, Julius von Kügelgen, Junhyung Park, Bernhard Schölkopf, Mauricio Barahona

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Multi-Channel Features Spatio-Temporal Context Learning for Visual Tracking by Xiaoqin Zhou, Xiaofeng Liu, Chenguang Yang, Aimin Jiang, Bin Yan

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Interpreting uninterpretable predictors: kernel methods, Shtarkov solutions, and random forests by T. M. Le, Bertrand Clarke

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