UPDATING ATTRIBUTE DATA STRUCTURES TO INDICATE JOINT RELATIONSHIPS AMONG ATTRIBUTES AND PREDICTIVE OUTPUTS FOR TRAINING AUTOMATED MODELING SYSTEMS
Attribute data structures can be updated to indicate joint relationships among attributes and predictive outputs in training data that can be used for training automated modeling system. A data structure that stores training data for training an automated modeling algorithm can be accessed. The trai...
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| creator | MIN, Xinyu OUYANG, Jeffrey Qijia |
| description | Attribute data structures can be updated to indicate joint relationships among attributes and predictive outputs in training data that can be used for training automated modeling system. A data structure that stores training data for training an automated modeling algorithm can be accessed. The training data can include first data for a first attribute and second data for a second attribute. The data structure can be modified to include a derived attribute that indicates a joint relationship among the first attribute, the second attribute, and a predictive output variable. The automated modeling algorithm can be trained with the first attribute, the second attribute, and the derived attribute. |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | UPDATING ATTRIBUTE DATA STRUCTURES TO INDICATE JOINT RELATIONSHIPS AMONG ATTRIBUTES AND PREDICTIVE OUTPUTS FOR TRAINING AUTOMATED MODELING SYSTEMS |
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