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BPM
2008
Springer
142views Business» more  BPM 2008»
13 years 9 months ago
Towards Process Models for Disaster Response
In the immediate aftermath of a disaster routine processes, even if specifically designed for such a situation, are not enacted blindly. Actions and processes rather adapt their be...
Dirk Fahland, Heiko Woith
CAISE
2008
Springer
13 years 9 months ago
On a Quest for Good Process Models: The Cross-Connectivity Metric
Abstract. Business process modeling is an important corporate activity, but the understanding of what constitutes good process models is still rather limited. In this paper, we tur...
Irene T. P. Vanderfeesten, Hajo A. Reijers, Jan Me...
JDCTA
2010
104views more  JDCTA 2010»
13 years 2 months ago
Mean Shifts Identification Model in Bivariate Process Based on LS-SVM Pattern Recognizer
This study develops a least squares support vector machines (LS-SVM) based model for bivariate process to diagnose abnormal patterns of process mean vector, and to help identify a...
Zhi-Qiang Cheng, Yi-Zhong Ma, Jing Bu
IROS
2009
IEEE
206views Robotics» more  IROS 2009»
14 years 2 months ago
Bayesian reinforcement learning in continuous POMDPs with gaussian processes
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
Patrick Dallaire, Camille Besse, Stéphane R...
WSC
2004
13 years 9 months ago
An Experimental Study on Forecasting Using TES Processes
Forecasting is of prime importance for accuracy in decision making. For data sets containing high autocorrelations, failure to account for temporal dependence will result in poor ...
Abdullah S. Karaman, Tayfur Altiok