Wells Fargo Bank, N.a.

Linwei Hu

Agus Sudjianto

Jie Chen

Vijayan Narayana Nair

Kurt Schieding

Xiaoyu Liu

Joel Vaughan

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