{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10504040","patent":{"patent_number":"US-10504040","title":"Annealed sparsity via adaptive and dynamic shrinking","assignee":null,"inventors":[],"filing_date":"2016-05-20T00:00:00.000Z","publication_date":"2019-12-10T00:00:00.000Z","cpc_codes":["G06N","G16B","G16H","G16H","G16H","G16H"],"num_claims":20,"abstract":"Systems and methods are provided for acquiring data from an input signal using multitask regression. The method includes: receiving the input signal, the input signal including data that includes a plurality of features; determining at least two computational tasks to analyze within the input signal; regularizing all of the at least two tasks using shared adaptive weights; performing a multitask regression on the input signal to create a solution path for all of the at least two tasks, wherein the multitask regression includes updating a model coefficient and a regularization weight together under an equality norm constraint until convergence is reached, and updating the model coefficient and regularization weight together under an updated equality norm constraint that has a greater l1-penalty than the previous equality norm constraint until convergence is reached; selecting a sparse model from the solution path; constructing an image using the sparse model; and displaying the image."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Annealed sparsity via adaptive and dynamic shrinking","description":"Systems and methods are provided for acquiring data from an input signal using multitask regression. The method includes: receiving the input signal, the input signal including data that includes a pl","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10504040","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-10504040","citation_suggestion":"Patentable. \"Annealed sparsity via adaptive and dynamic shrinking\" (US-10504040). https://patentable.app/patents/US-10504040","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10504040","json":"https://patentable.app/api/llm-context/US-10504040","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T11:19:36.573Z"}