发明名称 Knowledge representation using geometric flexible adaptable templates a new machine learning methodology
摘要 This invention relates to the machine recognition and learning of predetermined categories and more generally, to the representation of patterns, information and knowledge in computational applications. A method of learning categories is an important component of advanced software technology. This invention has applications in the following areas: bioinformatics, document classification, document similarity, financial data mining, goal-based planners, handwriting and character recognition, information retrieval, natural language processing, natural language understanding, pattern recognition, search engines, strategy based domains such as business, military and games, and vision recognition.
申请公布号 US2003236761(A1) 申请公布日期 2003.12.25
申请号 US20030409431 申请日期 2003.04.06
申请人 FISKE MICHAEL STEPHEN 发明人 FISKE MICHAEL STEPHEN
分类号 G06F15/18;G06K9/62;(IPC1-7):G06F17/00;G06N5/02;G06N3/12;G06N3/00 主分类号 G06F15/18
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