{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11481571","patent":{"patent_number":"US-11481571","title":"Automated localized machine learning training","assignee":null,"inventors":[],"filing_date":"2018-01-12T00:00:00.000Z","publication_date":"2022-10-25T00:00:00.000Z","cpc_codes":["G06N","G06F","G06F","G06F","G06N","G06T","G06V","G06V","G06V","G06V","G06V","H04W"],"num_claims":20,"abstract":"Techniques for generating a machine learning model to detect event instances from physical sensor data, including applying a first machine learning model to first sensor data from a first physical sensor at a location to detect an event instance, determining that a performance metric for use of the first machine learning model is not within an expected parameter, obtaining second sensor data from a second physical sensor during a period of time at the same location as the first physical sensor, obtaining third sensor data from the first physical sensor during the period of time, generating location-specific training data by selecting portions of the third sensor data based on training event instances detected using the second sensor data, training a second ML model using the location-specific training data, and applying the second ML model instead of the first ML model for detecting event instances."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Automated localized machine learning training","description":"Techniques for generating a machine learning model to detect event instances from physical sensor data, including applying a first machine learning model to first sensor data from a first physical sen","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11481571","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-11481571","citation_suggestion":"Patentable. \"Automated localized machine learning training\" (US-11481571). https://patentable.app/patents/US-11481571","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11481571","json":"https://patentable.app/api/llm-context/US-11481571","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T09:24:37.202Z"}