{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11487970","patent":{"patent_number":"US-11487970","title":"Distance-based learning confidence model","assignee":null,"inventors":[],"filing_date":"2020-09-24T00:00:00.000Z","publication_date":"2022-11-01T00:00:00.000Z","cpc_codes":["G06N","G06F","G06F","G06F","G06N","G06N"],"num_claims":20,"abstract":"A method for jointly training a classification model and a confidence model. The method includes receiving a training data set including a plurality of training data subsets. From two or more training data subsets in the training data set, the method includes selecting a support set of training examples and a query set of training examples. The method includes determining, using the classification model, a centroid value for each respective class. For each training example in the query set of training examples, the method includes generating, using the classification model, a query encoding, determining a class distance measure, determining a ground-truth distance, and updating parameters of the classification model. For each training example in the query set of training examples identified as being misclassified, the method further includes generating a standard deviation value, sampling a new query, and updating parameters of the confidence model based on the new query encoding."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Distance-based learning confidence model","description":"A method for jointly training a classification model and a confidence model. The method includes receiving a training data set including a plurality of training data subsets. From two or more training","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11487970","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-11487970","citation_suggestion":"Patentable. \"Distance-based learning confidence model\" (US-11487970). https://patentable.app/patents/US-11487970","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11487970","json":"https://patentable.app/api/llm-context/US-11487970","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T23:04:35.795Z"}