97 search results - page 2 / 20 » Herding dynamical weights to learn |
ICDM
2003
IEEE
13 years 10 months ago
2003
IEEE
Algorithms for tracking concept drift are important for many applications. We present a general method based on the Weighted Majority algorithm for using any online learner for co...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
—This study proposes to generalize Hebbian learning by identifying and synchronizing the dynamical regimes of individual nodes in a recurrent network. The connection weights are ...
ESAS
2006
Springer
13 years 8 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...
MCS
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. We describe an ensemble of classifiers based algorithm for incremental learning in nonstationary environments. In this formulation, we assume that the learner is presente...