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AUTOMATICA
2008
101views more  AUTOMATICA 2008»
15 years 3 months ago
Constrained linear system with disturbance: Convergence under disturbance feedback
This paper proposes a disturbance-based control parametrization under the Model Predictive Control framework for constrained linear discrete time systems with bounded additive dis...
Chen Wang, Chong Jin Ong, Melvyn Sim
WSDM
2012
ACM
259views Data Mining» more  WSDM 2012»
13 years 10 months ago
Learning recommender systems with adaptive regularization
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Steffen Rendle
133
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EUROPAR
2006
Springer
15 years 6 months ago
Comparison of Different Methods for Next Location Prediction
Next location prediction anticipates a person's movement based on the history of previous sojourns. It is useful for proactive actions taken to assist the person in an ubiquit...
Jan Petzold, Faruk Bagci, Wolfgang Trumler, Theo U...
JMLR
2008
110views more  JMLR 2008»
15 years 3 months ago
Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers
Support vector machine (SVM) is one of the most popular and promising classification algorithms. After a classification rule is constructed via the SVM, it is essential to evaluat...
Bo Jiang, Xuegong Zhang, Tianxi Cai
JIRS
2007
119views more  JIRS 2007»
15 years 3 months ago
Design and Stability Analysis of Fuzzy Model-based Predictive Control - A Case Study
In the paper a fuzzy model based predictive control algorithm is presented. The proposed algorithm is developed in the state space and is given in analytical form, which is an adva...
Saso Blazic, Igor Skrjanc