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» Effect of Batch Learning in Multilayer Neural Networks
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FLAIRS
2001
13 years 9 months ago
Time Series Analysis Using Unsupervised Construction of Hierarchical Classifiers
Recently we have proposed an algorithm of constructing hierarchical neural network classifiers (HNNC), that is based on a modification of error back-propagation. This algorithm co...
S. A. Dolenko, Yu. V. Orlov, I. G. Persiantsev, Ju...
ICONIP
2008
13 years 9 months ago
On Node-Fault-Injection Training of an RBF Network
Abstract. While injecting fault during training has long been demonstrated as an effective method to improve fault tolerance of a neural network, not much theoretical work has been...
John Sum, Chi-Sing Leung, Kevin Ho
CIKM
2010
Springer
13 years 5 months ago
Combining link and content for collective active learning
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
Lixin Shi, Yuhang Zhao, Jie Tang
TCSV
2002
132views more  TCSV 2002»
13 years 7 months ago
A study of real-time packet video quality using random neural networks
An important and unsolved problem today is the automatic quantification of the quality of video flows transmitted over packet networks. In particular, the ability to perform this ...
Samir Mohamed, Gerardo Rubino
NIPS
2001
13 years 9 months ago
Self-regulation Mechanism of Temporally Asymmetric Hebbian Plasticity
Recent biological experimental findings have shown that the synaptic plasticity depends on the relative timing of the pre- and postsynaptic spikes which determines whether Long Te...
N. Matsumoto, M. Okada