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» Learning Rules and Their Exceptions
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ESANN
2006
15 years 4 months ago
Independent dynamics subspace analysis
Abstract. The paper presents an algorithm for identifying the independent subspace analysis model based on source dynamics. We propose to separate subspaces by decoupling their dyn...
Alexander Ilin
126
Voted
TNN
2008
85views more  TNN 2008»
15 years 3 months ago
Training Spiking Neuronal Networks With Applications in Engineering Tasks
In this paper, spiking neuronal models employing means, variances, and correlations for computation are introduced. We present two approaches in the design of spiking neuronal netw...
Phill Rowcliffe, Jianfeng Feng
IJON
2002
130views more  IJON 2002»
15 years 3 months ago
Error-backpropagation in temporally encoded networks of spiking neurons
For a network of spiking neurons that encodes information in the timing of individual spike times, we derive a supervised learning rule, SpikeProp, akin to traditional errorbackpr...
Sander M. Bohte, Joost N. Kok, Johannes A. La Pout...
ACL
2009
15 years 1 months ago
Predicting Unknown Time Arguments based on Cross-Event Propagation
Many events in news articles don't include time arguments. This paper describes two methods, one based on rules and the other based on statistical learning, to predict the un...
Prashant Gupta, Heng Ji
131
Voted
ORL
2010
108views more  ORL 2010»
14 years 10 months ago
Weak aggregating algorithm for the distribution-free perishable inventory problem
Abstract. We formulate the multiperiod, distribution-free perishable inventory problem as a problem of prediction with expert advice and apply an online learning method (the Weak A...
Tatsiana Levina, Yuri Levin, Jeff McGill, Mikhail ...