Caesar AI Atlas

Kernel Method

Caesar AI Atlas Definition

A kernel method is a machine learning approach that uses a kernel function to compute similarity in an implicit feature space. It allows algorithms such as support vector machines to model nonlinear relationships without explicitly constructing high-dimensional feature representations.

Other Definitions

Kernel Method Source

In machine learning, kernel methods are a class of algorithms for pattern analysis, whose best known member is the support vector machine (SVM). The general task of pattern analysis is to find and study general types of relations (e.g., cluster analysis, rankings, principal components, correlations, classifications) in datasets.

Related Terms

Machine LearningVectorFeatureNonlinearComputeKernel Support Vector Machines [KSVMs]