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» On the weight convergence of Elman networks
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AAAI
2007
13 years 9 months ago
Unscented Message Passing for Arbitrary Continuous Variables in Bayesian Networks
Since Bayesian network (BN) was introduced in the field of artificial intelligence in 1980s, a number of inference algorithms have been developed for probabilistic reasoning. Ho...
Wei Sun, Kuo-Chu Chang
TNN
1998
132views more  TNN 1998»
13 years 7 months ago
Synthesis of fault-tolerant feedforward neural networks using minimax optimization
—In this paper we examine a technique by which fault tolerance can be embedded into a feedforward network leading to a network tolerant to the loss of a node and its associated w...
Dipti Deodhare, M. Vidyasagar, S. Sathiya Keerthi
AAAI
1996
13 years 8 months ago
Constructive Neural Network Learning Algorithms
Constructive learning algorithms offer an attractive approach for the incremental construction of near-minimal neural-network architectures for pattern classification. They help ov...
Rajesh Parekh, Jihoon Yang, Vasant Honavar
TWC
2010
13 years 2 months ago
Clustering and cluster-based routing protocol for delay-tolerant mobile networks
This research investigates distributed clustering scheme and proposes a cluster-based routing protocol for DelayTolerant Mobile Networks (DTMNs). The basic idea is to distributivel...
Ha Dang, Hongyi Wu
IPSN
2005
Springer
14 years 29 days ago
A scheme for robust distributed sensor fusion based on average consensus
— We consider a network of distributed sensors, where each sensor takes a linear measurement of some unknown parameters, corrupted by independent Gaussian noises. We propose a si...
Lin Xiao, Stephen P. Boyd, Sanjay Lall