Automation Intelligence for the Smart Environment

G. Michael Youngblood, Edwin O. Heierman III, Lawrence B. Holder, Diane J. Cook

Abstract: Scaling AI algorithms to large problems requires that these algorithms work together to harness their respective strengths. We introduce a method of automatically constructing HHMMs using the output of a sequential data-mining algorithm and sequential prediction algorithm. We present the theory of this technique and demonstrate results using the MavHome intelligent environment.