Communications of the ACM
Data Optimization in Developing Nations
Nathan Eagle (pictured), Eric Horvitz, and others are creating an Artificial Intelligence for Development community to address problems in economically developing countries.
Credit: Jeff Kubina
Artificial intelligence and machine learning could expand access to health care, improve the quality of education, and respond effectively to natural disasters in the developing world.
The full text of this article is premium content
Comments
Anonymous
Hi, i think the writer of this article made an honest mistake. Regarding the research on traffic accidents in Etiopia, the article claims a Projective Adaptive Resonance Theory Algorithm (PART) was used. Actually, the authors say in their paper that the mining algorithm used was actually a PART decision list algoritm. Accordign to Weka's definition, PART "Builds a partial C4.5 decision tree in each iteration", so is a decision-tree based technique, not a neural-network (Adaptive Resonance Theory - ART) approach.
William Caicedo T.
Displaying 1 comment