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IJCAI
1989
13 years 11 months ago
Generation, Local Receptive Fields and Global Convergence Improve Perceptual Learning in Connectionist Networks
This paper presents and compares results for three types of connectionist networks on perceptual learning tasks: [A] Multi-layered converging networks of neuron-like units, with e...
Vasant Honavar, Leonard Uhr
IJCNN
2006
IEEE
14 years 3 months ago
Improving the Convergence of Backpropagation by Opposite Transfer Functions
—The backpropagation algorithm is a very popular approach to learning in feed-forward multi-layer perceptron networks. However, in many scenarios the time required to adequately ...
Mario Ventresca, Hamid R. Tizhoosh
CDC
2008
IEEE
142views Control Systems» more  CDC 2008»
14 years 4 months ago
Convergence of rule-of-thumb learning rules in social networks
— We study the problem of dynamic learning by a social network of agents. Each agent receives a signal about an underlying state and communicates with a subset of agents (his nei...
Daron Acemoglu, Angelia Nedic, Asuman E. Ozdaglar
ICNP
2005
IEEE
14 years 3 months ago
Expected Convergence Properties of BGP
Border Gateway Protocol (BGP) is the de facto standard used for interdomain routing. Since packet forwarding may not be possible until stable routes are learned, it is not only cr...
Ramesh Viswanathan, Krishan K. Sabnani, Robert J. ...
CDC
2010
IEEE
154views Control Systems» more  CDC 2010»
13 years 4 months ago
Distributed constrained optimization over noisy networks
In this paper we deal with two problems which are of great interest in the field of distributed decision making and control. The first problem we tackle is the problem of achieving...
Kunal Srivastava, Angelia Nedic, Dusan M. Stipanov...