Kernel Methods Articles

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4/28/2024 • EN

RBF kernel approximation with random Fourier features

Explains kernel ridge regression and scaling RBF kernels using random Fourier features for efficient large-scale machine learning.

Kernel Methods Kernel Ridge Regression Machine Learning Random Fourier Features Rbf Kernel

Emir U

1/5/2020 • EN

2019: my scientific year in review

A researcher reviews their 2019 scientific work, focusing on computational statistics for brain imaging and data science.

Brain Imaging Computational Statistics Data Science Distribution Comparison Kernel Methods

Gael Varoquaux

12/8/2019 • EN

Comparing distributions: Kernels estimate good representations, l1 distances give good tests

Explores kernel methods and L1 distances for statistical two-sample testing, comparing their effectiveness in determining if datasets come from the same distribution.

Kernel Methods Mean Embeddings Probability Distributions Statistical Testing Two Sample Testing

Gael Varoquaux

9/14/2014 • EN

Kernel tricks and nonlinear dimensionality reduction via RBF kernel PCA

Explains how to use the RBF kernel trick to perform nonlinear dimensionality reduction via Kernel PCA for complex datasets.

dimensionality reduction Kernel Methods Principal Component Analysis Rbf Kernel Scikit Learn

Sebastian Raschka

Kernel Methods Articles

RBF kernel approximation with random Fourier features

2019: my scientific year in review

Comparing distributions: Kernels estimate good representations, l1 distances give good tests

Kernel tricks and nonlinear dimensionality reduction via RBF kernel PCA

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