{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-8463591","patent":{"patent_number":"US-8463591","title":"Efficient polynomial mapping of data for use with linear support vector machines","assignee":null,"inventors":[],"filing_date":"2010-07-29T00:00:00.000Z","publication_date":"2013-06-11T00:00:00.000Z","cpc_codes":["G06N","G06F","G06F","G06N"],"num_claims":26,"abstract":"Methods, systems, and apparatus, including computer programs encoded on computer storage media, for polynomial mapping of data for linear SVMs. In one aspect, a method includes training a linear classifier by receiving feature vectors and generating a condensed representation of a mapped vector corresponding to a polynomial mapping of each feature vector, the condensed representation including an index into a weight vector for each non-zero component of the mapped vector. A linear classifier is trained on the condensed representations. In another aspect, a method includes receiving a feature vector, identifying non-zero components resulting from a polynomial mapping of the feature vector, and mapping the combination of one or more elements of each non-zero component to a weight in a weight vector to determine a set of weights. The feature vector is classified according to a classification score derived by summing the set of weights."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Efficient polynomial mapping of data for use with linear support vector machines","description":"Methods, systems, and apparatus, including computer programs encoded on computer storage media, for polynomial mapping of data for linear SVMs. In one aspect, a method includes training a linear class","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-8463591","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-8463591","citation_suggestion":"Patentable. \"Efficient polynomial mapping of data for use with linear support vector machines\" (US-8463591). https://patentable.app/patents/US-8463591","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-8463591","json":"https://patentable.app/api/llm-context/US-8463591","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T22:29:22.069Z"}