{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11269974","patent":{"patent_number":"US-11269974","title":"Learning ordinal regression model via divide-and-conquer technique","assignee":null,"inventors":[],"filing_date":"2017-10-31T00:00:00.000Z","publication_date":"2022-03-08T00:00:00.000Z","cpc_codes":["G06F","G06F","G06F","G06N","G06N","G06Q","G06Q","G06Q","G06Q"],"num_claims":20,"abstract":"Embodiments of the present invention provide a divide-and-conquer algorithm which divides expanded data into a cluster of machines. Each portion of data is used to train logistic classification models in parallel, and then combined at the end of the training phase to create a single ordinal model. The training scheme removes the need for synchronization between the parallel learning algorithms during the training period, making training on large datasets technically feasible without the use of supercomputers or computers with specific processing capabilities. Embodiments of the present invention also provide improved estimation and prediction performance of the model learned compared to the existing techniques for training models with large datasets."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Learning ordinal regression model via divide-and-conquer technique","description":"Embodiments of the present invention provide a divide-and-conquer algorithm which divides expanded data into a cluster of machines. Each portion of data is used to train logistic classification models","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11269974","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-11269974","citation_suggestion":"Patentable. \"Learning ordinal regression model via divide-and-conquer technique\" (US-11269974). https://patentable.app/patents/US-11269974","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11269974","json":"https://patentable.app/api/llm-context/US-11269974","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T09:14:18.290Z"}