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» A theoretical framework for multiple neural network systems
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EAAI
2008
116views more  EAAI 2008»
13 years 9 months ago
Robust neuro-identification of nonlinear plants in electric power systems with missing sensor measurements
Fault tolerant measurements are an essential requirement for system identification, control and protection. Measurements can be corrupted or interrupted due to sensor failure, bro...
Wei Qiao, Zhi Gao, Ronald G. Harley, Ganesh K. Ven...
ADHOC
2007
137views more  ADHOC 2007»
13 years 9 months ago
"MeshUp": Self-organizing mesh-based topologies for next generation radio access networks
The phenomenal growth in wireless technologies has brought about a slew of new services. Incumbent with the new technology is the challenge of providing flexible, reconfigurable...
Samik Ghosh, Kalyan Basu, Sajal K. Das
CASCON
1996
77views Education» more  CASCON 1996»
13 years 10 months ago
Harvesting design for an application framework
Framework design begins with domain analysis. Either the problem domain is analyzed to create a new design, or the solution domain is analyzed to understand how the problem has al...
Joan Boone
NIPS
2003
13 years 10 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
ICIAP
1999
ACM
14 years 1 months ago
Methods for Dynamic Classifier Selection
In the field of pattern recognition, the concept of Multiple Classifier Systems (MCSs) was proposed as a method for the development of high performance classification systems. At ...
Giorgio Giacinto, Fabio Roli