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140
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IJON
1998
158views more  IJON 1998»
15 years 3 months ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu
117
Voted
CONEXT
2009
ACM
15 years 4 months ago
Networking named content
Network use has evolved to be dominated by content distribution and retrieval, while networking technology still speaks only of connections between hosts. Accessing content and se...
Van Jacobson, Diana K. Smetters, James D. Thornton...
SIAMCOMP
1998
162views more  SIAMCOMP 1998»
15 years 3 months ago
Hypercubic Sorting Networks
Hypercubic sorting networks are a class of comparator networks whose structure maps e ciently to the hypercube and any of its bounded degree variants. Recently, n-input hypercubic...
Frank Thomson Leighton, C. Greg Plaxton
130
Voted
ICCS
2009
Springer
15 years 10 months ago
Hierarchical Modelling and Model Adaptivity for Gas Flow on Networks
We are interested in the simulation and optimization of gas transport in networks. Different regions of the network may be modelled by different equations. There are three models...
Pia Bales, Oliver Kolb, Jens Lang
113
Voted
ISNN
2007
Springer
15 years 9 months ago
Neural Networks Training with Optimal Bounded Ellipsoid Algorithm
Abstract. Compared to normal learning algorithms, for example backpropagation, the optimal bounded ellipsoid (OBE) algorithm has some better properties, such as faster convergence,...
José de Jesús Rubio, Wen Yu