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π Entity
Kernel method
Class of algorithms for pattern analysis
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π Topics
- Machine Learning (1)
- Tensor Analysis (1)
π·οΈ Keywords
Subspace Kernel Learning (1) Β· Tensor Sequences (1) Β· Kernel Methods (1) Β· Machine Learning (1) Β· Data Analysis (1)
π Key Information
In machine learning, kernel machines are a class of algorithms for pattern analysis, whose best known member is the support-vector machine (SVM). These methods involve using linear classifiers to solve nonlinear problems. The general task of pattern analysis is to find and study general types of relations (for example clusters, rankings, principal components, correlations, classifications) in datasets.
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πΊπΈ Subspace Kernel Learning on Tensor Sequences
arXiv:2603.19546v1 Announce Type: cross Abstract: Learning from structured multi-way data, represented as higher-order tensors, requires capturing co...
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Machine learning Β· 1 shared articles