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CPC Subgroup
G06N 3/08

Learning methods

Full Title

Computing arrangements based on biological models > Neural networks > Learning methods

12 direct subcodes

Child Classifications

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  • G06N 3/082 modifying the architecture, e.g. adding, deleting or silencing nodes or connections
  • G06N 3/084 Backpropagation, e.g. using gradient descent
  • G06N 3/086 using evolutionary algorithms, e.g. genetic algorithms or genetic programming
  • G06N 3/088 Non-supervised learning, e.g. competitive learning
  • G06N 3/0895 Weakly supervised learning, e.g. semi-supervised or self-supervised learning
  • G06N 3/09 Supervised learning
  • G06N 3/091 Active learning
  • G06N 3/092 Reinforcement learning
  • G06N 3/094 Adversarial learning
  • G06N 3/096 Transfer learning
  • G06N 3/098 Distributed learning, e.g. federated learning
  • G06N 3/0985 Hyperparameter optimisation; Meta-learning; Learning-to-learn

Top Applicants

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

  1. SAMSUNG ELECTRONICS COMPANY KR 76,952
  2. IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 62,841
  3. MICROSOFT TECHNOLOGY LICENSING US 44,778
  4. GOOGLE US 35,735
  5. INTEL CORPORATION US 32,087
  6. HUAWEI TECHNOLOGIES COMPANY CN 30,572
  7. TENCENT TECHNOLOGY (SHENZHEN) COMPANY 25,023
  8. APPLE US 23,482
  9. SGCC(STATE GRID CORPORATION OF CHINA) 22,548
  10. HUAWEI TECHNOLOGIES COMPANY 20,917