{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11966850","patent":{"patent_number":"US-11966850","title":"Systems and methods for training predictive models that ignore missing features","assignee":null,"inventors":[],"filing_date":"2023-06-09T00:00:00.000Z","publication_date":"2024-04-23T00:00:00.000Z","cpc_codes":["G06N","G06N","G06N"],"num_claims":16,"abstract":"Systems and methods for training and utilizing predictive models that ignore missing features in accordance with embodiments of the invention are illustrated. One embodiment includes a method for generating representations of inputs with missing values. The method includes steps for, at a single layer in a multi-layer model, receiving an input includes a set of one or more values for several features and identifying a missingness pattern of the input, wherein the missingness pattern indicates whether the set of values is missing a value for each of the several features. The method further includes determining a set of one or more transformation weights based on the missingness pattern and transforming the input based on the determined transformation weights."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Systems and methods for training predictive models that ignore missing features","description":"Systems and methods for training and utilizing predictive models that ignore missing features in accordance with embodiments of the invention are illustrated. One embodiment includes a method for gene","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11966850","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-11966850","citation_suggestion":"Patentable. \"Systems and methods for training predictive models that ignore missing features\" (US-11966850). https://patentable.app/patents/US-11966850","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11966850","json":"https://patentable.app/api/llm-context/US-11966850","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T14:10:36.205Z"}