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NIPS
1997
15 years 5 days ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
GLOBECOM
2007
IEEE
15 years 5 months ago
Properties of Opportunistic and Collaborative Wireless Mesh Networks
Abstract—While the cost of nodes in a wireless mesh network is decreasing, the price tag of the network as a whole is best minimized by deploying the fewest number of nodes that ...
Cédric Westphal
MASCOTS
2000
15 years 5 days ago
A Transaction-Level Tool for Predicting TCP Performance and for Network Engineering
Most network engineering tools are unsatisfactory. Measurements are not predictive, simulations do not scale, and analysis is limited to oversimplified models. To be more useful, ...
Jean C. Walrand
CORR
2007
Springer
177views Education» more  CORR 2007»
14 years 10 months ago
Another Proof of Wright's Inequalities
We present a short way of proving the inequalities obtained by Wright in [Journal of Graph Theory, 4: 393 – 407 (1980)] concerning the number of connected graphs with ℓ edges m...
Vlady Ravelomanana
EJC
2010
14 years 11 months ago
The flipping puzzle on a graph
Let S be a connected graph which contains an induced path of n-1 vertices, where n is the order of S. We consider a puzzle on S. A configuration of the puzzle is simply an n-dimen...
Hau-wen Huang, Chih-wen Weng