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SCL
2008
76views more  SCL 2008»
13 years 11 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 11 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 ...