{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11989635","patent":{"patent_number":"US-11989635","title":"Space efficient random decision forest models implementation utilizing automata processors","assignee":null,"inventors":[],"filing_date":"2020-06-26T00:00:00.000Z","publication_date":"2024-05-21T00:00:00.000Z","cpc_codes":["G06N","G06N","G06N"],"num_claims":20,"abstract":"An apparatus includes a processing resource configured to receive a feature vector of a data stream. The feature vector includes a set of feature values. The processing resource is further configured to calculate a set of feature labels based at least in part on the set of feature values to generate a label vector, provide the label vector to another processing resource, and receive a plurality of classifications corresponding to each feature label of the label vector from the other processing resource. The plurality of classifications are generated based at least in part on a respective range of feature values of the set of feature values. The processing resource is configured to then combine the plurality of classifications to generate a final classification of the data stream."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Space efficient random decision forest models implementation utilizing automata processors","description":"An apparatus includes a processing resource configured to receive a feature vector of a data stream. The feature vector includes a set of feature values. The processing resource is further configured ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11989635","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-11989635","citation_suggestion":"Patentable. \"Space efficient random decision forest models implementation utilizing automata processors\" (US-11989635). https://patentable.app/patents/US-11989635","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11989635","json":"https://patentable.app/api/llm-context/US-11989635","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T04:11:02.842Z"}