Algorithms for pattern analysis that use functions such as Gaussians to enable them to operate in a high-dimensional descriptor space without ever computing the coordinates of the data in that space.
Note: The support vector machine (SVM) is the most widely used kernel method.
Source:
PAC, 2016, 88, 239. 'Glossary of terms used in computational drug design, part II (IUPAC Recommendations 2015)' on page 248 (https://doi.org/10.1515/pac-2012-1204)