US Patent 7085690 Unsupervised machine learning-based mathematical model selection
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Patent abstract
The invention provides an automated method for identifying an optimal or near optimal mathematical model to describe observed data including: a) the definition of a candidate model search space, b) methods for searching said candidate model search space to identify the optimal or near optimal model within said candidate model search space. The present invention includes algorithms for writing the computer code needed to implement and evaluate candidate models in the software package NONMEM.
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Patent Inventor Names
Mark Edward Sale0
Date of Patent
August 1, 2006
0Patent Application Number
098786860
Date Filed
June 11, 2001
0Patent Primary Examiner
Golden AI
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US Patent 7085690 Unsupervised machine learning-based mathematical model selection
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