Wells Fargo Bank, N.a.

Linwei Hu

Agus Sudjianto

Jie Chen

Vijayan Narayana Nair

Kurt Schieding

Xiaoyu Liu

Joel Vaughan

Systems, apparatuses, methods, and computer program products are disclosed for training a GAMI-Tree model. An example method includes initializing an iterative prediction model and performing a required number of model training iterations. For each model training iteration, the method further includes (i) performing a required number of main-effect gradient boosting iterations of a main-effect gradient boosting routine, (ii) generating a plurality of qualified input feature pairs, and (iii) performing a required number of interaction-effect gradient boosting iterations of a interaction-effect gradient boosting routine. The method further includes generating the GAMI-Tree model based on the iterative prediction model generated by a final interaction-effect gradient boosting iteration of a final model training iteration.

Using model-based trees with boosting to fit low-order functional anova models

Computing systems and technical methods that transform data structures and pierce opacity difficulties associated with complex machine learning algorithms are disclosed. Advances include a framework and techniques that include: i) global diagnostics; ii) locally interpretable models LIME-SUP-R and LIME-SUP-D; and iii) explainable neural networks.

Resolving opaqueness of complex machine learning applications

Computing systems and technical methods that transform data structures and pierce opacity difficulties associated with complex machine learning modules are disclosed. Advances include a framework and techniques that include: i) global diagnostics; ii) locally interpretable models LIME-SUP-R and LIME-SUP-D; and iii) explainable neural networks. Advances also include integrating LIME-SUP-R and LIME-SUP-D approaches that create a transformed data structure and replicated modeling over local and global effects and that yield high interpretability along with high accuracy of the replicated complex machine learning modules that make up a machine learning application.

Growing community of inventors

Charlotte, NC, United States of America

Linwei Hu