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IPC Subgroup
G06N 20/1

using kernel methods, e.g. support vector machines [SVM]

Introduced: January 2019

Full Title

Machine learning > using kernel methods, e.g. support vector machines [SVM]

Classification Context

Section:
PHYSICS
Class:
COMPUTING OR CALCULATING; COUNTING
Subclass:
COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS

Filing statistics

IPC G06N 20/1 belongs to the parent subclass G06N, which recorded 613,242 patent applications worldwide between 2013 and 2023. Annual filings grew from 3,903 in 2013 to 139,015 in 2023 (+3462%). The most active applicants in class G06 are SAMSUNG ELECTRONICS COMPANY (66,669 applications), IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) (62,313 applications) and MICROSOFT TECHNOLOGY LICENSING (41,918 applications).

Source: EPO PATSTAT, worldwide filings

Top Applicants

Top 10 applicants by patent filingsfor class G06, 2013–2023, worldwide · Source: EPO PATSTAT

  1. SAMSUNG ELECTRONICS COMPANY KR 66,669
  2. IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 62,313
  3. MICROSOFT TECHNOLOGY LICENSING US 41,918
  4. GOOGLE US 32,969
  5. SGCC(STATE GRID CORPORATION OF CHINA) 30,822
  6. INTEL CORPORATION US 30,010
  7. TENCENT TECHNOLOGY (SHENZHEN) COMPANY 28,235
  8. HUAWEI TECHNOLOGIES COMPANY CN 26,079
  9. APPLE US 21,891
  10. HUAWEI TECHNOLOGIES COMPANY 20,505