2A2-G04 A Human Comprehensible Machine Learning Method
A.M.M. Sharif Ullah, Jun’ichi TAMAKI · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 2010
Human being often learns from graphical information and then makes necessary conclusion using it. This paper deals with this issue and suggests a way to develop a machine learning technique to make conclusions from graphical information as if a human being is performing the computation. This method is helpful for developing robots to perform complex cognitive tasks like provide design solution using domain knowledge.