US2023244969A1PendingUtilityA1

Method of Improving Processing Efficiency Decision Making Within a Computer System

Assignee: SUKLJA DANIELPriority: Jan 5, 2018Filed: Apr 11, 2023Published: Aug 3, 2023
Est. expiryJan 5, 2038(~11.4 yrs left)· nominal 20-yr term from priority
Inventors:Daniel Suklja
G06N 5/045G06N 20/00G06F 16/282G06F 16/2246G06F 16/35G06N 5/022G06N 5/01
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Claims

Abstract

The method disclosed herein includes preprocessing large amounts of input data into a smaller input data sets based on first predetermined associations, sorting the smaller input data sets into groups based on second predetermined associations, filtering grouped data based on upper and lower thresholds, updating a hierarchical processing decision tree within a processor of a computing system, processing data based on the updated hierarchical processing decision tree, and recursively restarting the preprocessing of the large amounts of input data to dynamically update the hierarchical processing decision tree within a user device.

Claims

exact text as granted — not AI-modified
1 . (canceled) 
     
     
         2 . (canceled) 
     
     
         3 . A method of improving processing efficiency of decision making within a computing system comprising:
 one or more processors with non-transitory memory programmed to:
 preprocess a plurality of data inputs at time T1 to time Tn; 
 create a reduced plurality of virtual data inputs based on first predetermined associations of the plurality of data inputs; 
 sort the virtual data inputs into groups based on second predetermined associations within the reduced plurality of virtual data inputs; 
 assign first conditionally weighted variables to each of the groups based at least in part on the second predetermined associations; 
 assign second conditionally weighted variables to each virtual data input of each group based at least in part on a relation to the first conditionally weighted variables of each group; 
 create upper and lower threshold limits for each group related to the first conditionally weighted variables or the second conditionally weighted variables; 
 update a hierarchical processing decision tree based on the reduced plurality of virtual data inputs; 
 start hierarchical processing within the computing system based on the updated hierarchical processing decision tree; 
 recursively restart the preprocessing of the plurality of data inputs; 
   wherein the hierarchical processing produces a real-time bi-stable decision based on the plurality of data inputs; and   and wherein the real-time bi-stable decision causes one or more of the following:
 unlocking of a secure entry, identity authentication, yes/no decisions, purchase transaction decisions, sell transaction decisions, biological identity decisions, fraud decisions, or providing of a bi-stable output. 
   
     
     
         4 . The invention of  claim 3 , wherein the one or more processors is further programmed to eliminate all virtual data inputs that fall outside of the upper or the lower threshold limits within each group.

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