Online Sequential Prediction via Incremental Parsing: The Active LeZi Algorithm

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	Similar Articles Articles by Karthik Gopalratnam Articles by Diane J. Cook

January/February 2007 (vol. 22 no. 1)

pp. 52-58

	ASCII Text	x
	Karthik Gopalratnam, Diane J. Cook, "Online Sequential Prediction via Incremental Parsing: The Active LeZi Algorithm," IEEE Intelligent Systems, vol. 22, no. 1, pp. 52-58, January/February, 2007.

	BibTex	x
	@article{ 10.1109/MIS.2007.15, author = {Karthik Gopalratnam and Diane J. Cook}, title = {Online Sequential Prediction via Incremental Parsing: The Active LeZi Algorithm}, journal ={IEEE Intelligent Systems}, volume = {22}, number = {1}, issn = {1541-1672}, year = {2007}, pages = {52-58}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2007.15}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - MGZN JO - IEEE Intelligent Systems TI - Online Sequential Prediction via Incremental Parsing: The Active LeZi Algorithm IS - 1 SN - 1541-1672 SP52 EP58 EPD - 52-58 A1 - Karthik Gopalratnam, A1 - Diane J. Cook, PY - 2007 KW - sequential prediction KW - smart environments KW - Active LeZi KW - MavHome VL - 22 JA - IEEE Intelligent Systems ER -

Karthik Gopalratnam, University of Texas at Arlington

Diane J. Cook, Washington State University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2007.15

Prediction is important in various domains. Intelligent systems that can predict future events can make more informed, and therefore more reliable, decisions. Active LeZi, an online sequential prediction algorithm that can reason about the future in stochastic domains, uses an information-theoretic approach to analyze synthetic data, UNIX command data, and sequential data obtained from the MavHome smart home environment.

Index Terms:

sequential prediction, smart environments, Active LeZi, MavHome

Citation:

Karthik Gopalratnam, Diane J. Cook, "Online Sequential Prediction via Incremental Parsing: The Active LeZi Algorithm," IEEE Intelligent Systems, vol. 22, no. 1, pp. 52-58, Jan./Feb. 2007, doi:10.1109/MIS.2007.15

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