{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10528891","patent":{"patent_number":"US-10528891","title":"Systems and methods for implementing an intelligent machine learning optimization platform for multiple tuning criteria","assignee":null,"inventors":[],"filing_date":"2019-07-31T00:00:00.000Z","publication_date":"2020-01-07T00:00:00.000Z","cpc_codes":["G06N","G06N","G06F","G06N"],"num_claims":16,"abstract":"Systems and methods for tuning hyperparameters of a model includes: receiving a multi-criteria tuning work request for tuning hyperparameters of the model of the subscriber to the remote tuning service, wherein the multi-criteria tuning work request includes: a first objective function of the model to be optimized by the remote tuning service; a second objective function to be optimized by the remote tuning service, the second objective function being distinct from the first objective function; computing a joint tuning function based on a combination of the first objective function and the second objective function; executing a tuning operation of the hyperparameters for the model based on a tuning of the joint function; and identifying one or more proposed hyperparameter values based on one or more hyperparameter-based points along a convex Pareto optimal curve."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Systems and methods for implementing an intelligent machine learning optimization platform for multiple tuning criteria","description":"Systems and methods for tuning hyperparameters of a model includes: receiving a multi-criteria tuning work request for tuning hyperparameters of the model of the subscriber to the remote tuning servic","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10528891","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-10528891","citation_suggestion":"Patentable. \"Systems and methods for implementing an intelligent machine learning optimization platform for multiple tuning criteria\" (US-10528891). https://patentable.app/patents/US-10528891","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10528891","json":"https://patentable.app/api/llm-context/US-10528891","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T20:36:05.468Z"}