323 search results - page 6 / 65 » New Algorithms for Learning in Presence of Errors |
IJSYSC
1998
13 years 7 months ago
1998
This paper presents a new analysis and design method for model reference adaptive control(MRAC) with arbitrary bounded input nonlinearities. The adaptive algorithm ensures that th...
ESAS
2006
Springer
13 years 11 months ago
2006
Springer
We investigate the performance of of several protocol enhancements to the On-Demand Secure Byzantine Routing (ODSBR) [3] protocol in the presence of various Byzantine Attack models...
DIS
2006
Springer
13 years 11 months ago
2006
Springer
Incremental learning is an approach to deal with the classification task when datasets are too large or when new examples can arrive at any time. One possible approach uses concent...
ECML
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
IEEEHPCS
2010
13 years 5 months ago
2010
The performance (in term of error rate) of biometric systems can be improved by combining them. Multiple fusion techniques can be applied from classical logical operations to more...