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» Potential for Symbolic-assisted Process Simulation
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JDCTA
2010
104views more  JDCTA 2010»
13 years 4 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
ICNP
1998
IEEE
14 years 2 months ago
On Reducing the Processing Cost of On-Demand QoS Path Computation
Quality of Service (QoS) routing algorithms have become the focus of recent research due to their potential for increasing the utilization of an Integrated Services Packet Network...
George Apostolopoulos, Satish K. Tripathi
PSB
2004
13 years 11 months ago
Modeling Cellular Processes with Variational Bayesian Cooperative Vector Quantizer
Gene expression of a cell is controlled by sophisticated cellular processes. The capability of inferring the states of these cellular processes would provide insight into the mech...
Xinghua Lu, Milos Hauskrecht, Roger S. Day
IJCAI
2003
13 years 11 months ago
Gaussian Process Models of Spatial Aggregation Algorithms
Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
Naren Ramakrishnan, Christopher Bailey-Kellogg
CSL
2007
Springer
13 years 9 months ago
Partially observable Markov decision processes for spoken dialog systems
In a spoken dialog system, determining which action a machine should take in a given situation is a difficult problem because automatic speech recognition is unreliable and hence ...
Jason D. Williams, Steve Young