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ATAL
2010
Springer
13 years 9 months ago
2010
Springer
Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
PRDC
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract—In this paper, we study algebraic aggregate computations in Sensor Networks. The main contribution is the presentation of an early-stopping protocol that computes the av...
ESANN
2001
13 years 9 months ago
2001
Abstract. Sigmoidal or radial transfer functions do not guarantee the best generalization nor fast learning of neural networks. Families of parameterized transfer functions provide...
SIGIR
2005
ACM
14 years 1 months ago
2005
ACM
We study the problem of offering publish/subscribe functionality on top of structured overlay networks using data models and languages from IR. We show how to achieve this by ext...
IEICET
2006
13 years 7 months ago
2006
A network based on the Inverse Function Delayed (ID) model, which can recall a temporal sequence of patterns, is proposed. The classical problem, that the network is forced to make...