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SCL
2008
76views more  SCL 2008»
13 years 4 months ago
Probabilistic output admissible set for systems with time-varying uncertainties
This paper considers time-varying uncertain constrained systems, and develops a method for computing a probabilistic output admissible (POA) set. This set consists of the initial ...
Takeshi Hatanaka, Kiyotsugu Takaba
ML
2008
ACM
248views Machine Learning» more  ML 2008»
13 years 4 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...