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Interpreting natural language processing (NLP) models and lifting their limitations
(2021-07)
There have been many advances in the artificial intelligence field due to the emergence of deep learning and big data. In almost all sub-fields, artificial neural networks have reached or exceeded human-level performance. ...
Analyzing Optimal Performance of Evolutionary Search with Restart as Problem Complexity Changes
(Oklahoma State University, 2006-12-01)
This research explores how the complexity of a problem domain affects the performance of an evolutionary search using a performance-based restart policy. Previous research indicates that using a restart policy to avoid ...