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US Patent 12106407 Systems and methods for generating a single-index model tree

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Patent
Patent
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Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
121064070
Patent Inventor Names
Agus Sudjianto0
Aijun Zhang0
Zebin Yang0
Date of Patent
October 1, 2024
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Patent Application Number
183110460
Date Filed
May 2, 2023
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Patent Citations
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US Patent 9171259 Enhancing classification and prediction using predictive modeling
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US Patent 10983492 Adaptive PMU missing data recovery method
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US Patent 7660705 Bayesian approach for learning regression decision graph models and regression models for time series analysis
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Patent Primary Examiner
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Jason A Pringle-Parker
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Patent abstract

Systems, apparatuses, methods, and computer program products are disclosed for generating a single-index model (SIM) tree. An example method includes receiving a data set and a maximum tree depth. The example method further includes screening a set of variables from the data set to form split variables. The method may include, while maximum tree depth has not been reached, (i) generating a fast SIM estimation for nodes of a tree level, (ii) for each node, selecting a split point and split variable based on the fast SIM estimation, (iii) based on the selected split points and split variables, generating nodes for a next tree level, each including a subset of data, and (iv) repeating steps (i), (ii), and (iii). The method may include fitting a SIM for each leaf node at maximum tree depth based on a subset of the data set represented by the leaf node.

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