A Synergistic Approach for Deep Learning and Knowledge Engineered Solutions
Joshua Haley, Richard Pazda, Ross D. Hoehn, Robert E. Wray · 2020
Machine Learning techniques offer innovative solutions to many problems from image recognition to intractably difficult games (i.e., Go). However, researchers and developers often employ machine learning techniques in isolation from knowledge-engineered approaches, typically considered passe. While knowledge-engineered solutions have limitations, they offer valuable insights about the problem space and solution pathways. Herein, we explore a hybrid approach that synergistically leverages both knowledge engineering and machine learning.