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Online Sequential Prediction via Incremental Parsing: The Active LeZi Algorithm
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2007.15January/February 2007 (vol. 22 no. 1) pp. 52-58
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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
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@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
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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
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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