Kernel method

Term · Chemistry · MLC-T-CHM-006316

A class of algorithms in machine learning that transforms data into a higher-dimensional feature space, allowing for the detection of non-linear relationships. This transformation is achieved through a kernel function, which calculates the similarity between data points without explicitly computing their coordinates in the new space. Support Vector Machines (SVMs) are a prominent example of algorithms that employ kernel methods.

Table 1. Record
Identifier	MLC-T-CHM-006316
Field	Chemistry
Subject	Chemistry and Human Health
References	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)
See also	Algorithm

Record as JSON

{
  "id": "MLC-T-CHM-006316",
  "term": "Kernel method",
  "field": "Chemistry",
  "definition": "A class of algorithms in machine learning that transforms data into a higher-dimensional feature space, allowing for the detection of non-linear relationships. This transformation is achieved through a kernel function, which calculates the similarity between data points without explicitly computing their coordinates in the new space. Support Vector Machines (SVMs) are a prominent example of algorithms that employ kernel methods.",
  "subject": "Chemistry and Human Health",
  "see_also": [
    "algorithm"
  ],
  "references": [
    "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)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/kernel-method/"
}

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