{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11514364","patent":{"patent_number":"US-11514364","title":"Iterative vectoring for constructing data driven machine learning models","assignee":null,"inventors":[],"filing_date":"2020-02-19T00:00:00.000Z","publication_date":"2022-11-29T00:00:00.000Z","cpc_codes":["G06N","G06Q"],"num_claims":20,"abstract":"Embodiments described herein are directed to generating a machine learning (ML) model. A plurality of vectors are accessed, each vector of the plurality of vectors including a first set of features associated with a corresponding data item. A second set of features is identified by expanding the first set of features. A ML model is trained using vectors including the expanded set of features, and it is determined that an accuracy of the ML model trained using the vectors increased. A third set of features is identified by determining a measure of importance for different subsets of features in the second set and replacing subsets having a low measure of importance with new features. A ML model is trained using vectors that include the third set, and it is determined that an accuracy of the model increased due to the replacing."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Iterative vectoring for constructing data driven machine learning models","description":"Embodiments described herein are directed to generating a machine learning (ML) model. A plurality of vectors are accessed, each vector of the plurality of vectors including a first set of features as","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11514364","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-11514364","citation_suggestion":"Patentable. \"Iterative vectoring for constructing data driven machine learning models\" (US-11514364). https://patentable.app/patents/US-11514364","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11514364","json":"https://patentable.app/api/llm-context/US-11514364","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T03:15:04.408Z"}