{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11295177","patent":{"patent_number":"US-11295177","title":"Ensemble weak support vector machines","assignee":null,"inventors":[],"filing_date":"2020-03-27T00:00:00.000Z","publication_date":"2022-04-05T00:00:00.000Z","cpc_codes":["G06N","G06F","G06F","G06F","G06N","G06N"],"num_claims":20,"abstract":"In an approach to improving accuracy through weak model aggregation, one or more computer processors generating a plurality of hyperparameter sets, wherein each hyperparameter set in the plurality of hyperparameter sets contains one or more hyperparameters varied to increase over-training in one or more models, wherein over-training includes overfitting or underfitting. The one or more computer processors create a plurality of weak models utilizing a created bootstrap dataset in a plurality of created bootstrap datasets, a corresponding extracted explanatory variable set, and a corresponding hyperparameter set in the generated plurality of hyperparameter sets, wherein each weak model in a created plurality of weak models shares at least the created bootstrap dataset, the extracted explanatory variable set, the generated hyperparameter set, a machine learning technique, or a model architecture. The one or more computer processors predict a classification for an unknown datapoint by aggregating the created plurality of weak models."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Ensemble weak support vector machines","description":"In an approach to improving accuracy through weak model aggregation, one or more computer processors generating a plurality of hyperparameter sets, wherein each hyperparameter set in the plurality of ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11295177","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11295177","citation_suggestion":"Patentable. \"Ensemble weak support vector machines\" (US-11295177). https://patentable.app/patents/US-11295177","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11295177","json":"https://patentable.app/api/llm-context/US-11295177","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T08:35:26.319Z"}