{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10469398","patent":{"patent_number":"US-10469398","title":"Selecting forecasting model complexity using eigenvalues","assignee":null,"inventors":[],"filing_date":"2014-03-04T00:00:00.000Z","publication_date":"2019-11-05T00:00:00.000Z","cpc_codes":["G06Q","H04L"],"num_claims":18,"abstract":"A method, system, and computer program product for selecting forecasting model complexity using eigenvalues are provided in the illustrative embodiments A process is represented in a model. The model comprises a mathematical representation of the process in a certain degree. A first portion of historical data generated by the process during a first period is selected and includes an actual value of an outcome of the process and a value of a feature influencing the process during the first period. A prediction is made of a predicted value of the outcome. A difference between the prediction and the actual value of the outcome is determined. The difference is represented as a change in a distribution of eigenvalues. According to the change, a second model is to represent the process. The second model comprises a second mathematical representation of the process in a different degree."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Selecting forecasting model complexity using eigenvalues","description":"A method, system, and computer program product for selecting forecasting model complexity using eigenvalues are provided in the illustrative embodiments A process is represented in a model. The model ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10469398","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-10469398","citation_suggestion":"Patentable. \"Selecting forecasting model complexity using eigenvalues\" (US-10469398). https://patentable.app/patents/US-10469398","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10469398","json":"https://patentable.app/api/llm-context/US-10469398","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T07:45:46.449Z"}