SELF LEARNING ADAPTIVE MODELING SYSTEM

摘要

Self-learning and adaptive modeling is employed with respect to predictive analytics. A hierarchical model structure can be employed comprising a set of predictive models automatically built from accumulated data and distributed across multiple levels. For a given input type, a set of candidate models can be identified across varying levels of granularity, and a best model selected based on a comparison of performance metrics of the models. The best model can then be activated for use in making predictions. Of course, the best model can change based on most recent training performance results, since as more data becomes available more specific models can be developed.

主权项

1. A method, comprising:
employing at least one processor configured to execute computer-executable instructions stored in a memory to perform the following acts: constructing a hierarchical model structure automatically as a function of data accumulation over time, the structure includes a set of predictive models across a plurality of levels of granularity.