{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-12001963","patent":{"patent_number":"US-12001963","title":"Facilitating ML algorithm contribution to use cases where data is prohibitive","assignee":null,"inventors":[],"filing_date":"2021-03-19T00:00:00.000Z","publication_date":"2024-06-04T00:00:00.000Z","cpc_codes":["G06N","G06F","G06N"],"num_claims":20,"abstract":"Example aspects include techniques for building a ML model in a use case with prohibitive training data and employing the ML model within the use case. These techniques may include determining training information including a plurality of stray training reads and a plurality of valid training reads, determining modified training information based at least in part on modifying the plurality of valid training reads, and generating a model for distinguishing a valid read from a stray read based on the modified training information and an evolutionary algorithm. In addition, the techniques may include detecting, by a monitoring device, a plurality of tag reads in response to a plurality of interactions between a tag and the monitoring device, and determining, by the monitoring device, a plurality of valid tag reads based on the model and plurality of tag reads."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Facilitating ML algorithm contribution to use cases where data is prohibitive","description":"Example aspects include techniques for building a ML model in a use case with prohibitive training data and employing the ML model within the use case. These techniques may include determining trainin","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-12001963","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-12001963","citation_suggestion":"Patentable. \"Facilitating ML algorithm contribution to use cases where data is prohibitive\" (US-12001963). https://patentable.app/patents/US-12001963","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-12001963","json":"https://patentable.app/api/llm-context/US-12001963","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T13:41:48.088Z"}