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AUTOMATICA
2010
13 years 7 months ago
2010
Linear System Identification yields a nominal model parameter, which minimizes a specific criterion based on the single inputoutput data set. Here we investigate the utility of va...
SAC
2004
ACM
14 years 1 months ago
2004
ACM
CHI
2010
ACM
13 years 10 months ago
2010
ACM
ICDE
2009
IEEE
14 years 2 months ago
2009
IEEE
— In this paper, we will study the problem of projected clustering of uncertain data streams. The use of uncertainty is especially important in the high dimensional scenario, bec...
AAAI
2006
13 years 9 months ago
2006
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...