Proceedings

Automation Intelligence for the Smart Environment

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Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 1513-1513.

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.

G. Michael Youngblood, Edwin O. Heierman III, Lawrence B. Holder, and Diane J. Cook. 2005. Automation Intelligence for the Smart Environment. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05. IJCAI, 1513–1513. https://ijcai.org/proceedings/2005/270
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