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IJCNN
2008
IEEE
15 years 11 months ago
On-line bagging Negative Correlation Learning
— Negative Correlation Learning (NCL) has been showing to outperform other ensemble learning approaches in off-line mode. A key point to the success of NCL is that the learning o...
Fernanda L. Minku, Xin Yao
LICS
2010
IEEE
15 years 3 months ago
Abstracting the Differential Semantics of Rule-Based Models: Exact and Automated Model Reduction
ing the differential semantics of rule-based models: exact and automated model reduction (Invited Lecture) Vincent Danos∗§, J´erˆome Feret†, Walter Fontana‡, Russell Harme...
Vincent Danos, Jérôme Feret, Walter F...
IJAR
2006
91views more  IJAR 2006»
15 years 5 months ago
Sequential influence diagrams: A unified asymmetry framework
We describe a new graphical language for specifying asymmetric decision problems. The language is based on a filtered merge of several existing languages including sequential valu...
Finn Verner Jensen, Thomas D. Nielsen, Prakash P. ...
NEUROSCIENCE
2001
Springer
15 years 9 months ago
Biological Grounding of Recruitment Learning and Vicinal Algorithms in Long-Term Potentiation
Biological networks are capable of gradual learning based on observing a large number of exemplars over time as well as of rapidly memorizing specific events as a result of a sin...
Lokendra Shastri
ISNN
2007
Springer
15 years 11 months ago
Hybrid Intelligent Modeling Approach for the Ball Mill Grinding Process
Modeling for the ball mill grinding process is still an imperative but difficult problem for the optimal control of mineral processing industry. Due to the integrated complexities ...
Ming Tie, Jing Bi, Yushun Fan