Sciweavers

2421 search results - page 184 / 485
» Approximate Flow-Aware Networking
Sort
View
115
Voted
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
15 years 9 months ago
Nonlinear feature extraction using a neuro genetic hybrid
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
Yung-Keun Kwon, Byung Ro Moon
UAI
1998
15 years 4 months ago
The Bayesian Structural EM Algorithm
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
Nir Friedman
138
Voted
TNN
2008
177views more  TNN 2008»
15 years 3 months ago
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
Yoshua Bengio, Jean-Sébastien Senecal
141
Voted
SIAMDM
2010
113views more  SIAMDM 2010»
14 years 10 months ago
The VPN Problem with Concave Costs
We consider the following network design problem. We are given an undirected network with costs on the edges, a set of terminals, and an upper bound for each terminal limiting the ...
Samuel Fiorini, Gianpaolo Oriolo, Laura Sanit&agra...
121
Voted
INFOCOM
2007
IEEE
15 years 9 months ago
Paradox of Shortest Path Routing for Large Multi-Hop Wireless Networks
— In this paper, we analyze the impact of straight line routing in large homogeneous multi-hop wireless networks. We estimate the nodal load, which is defined as the number of p...
Sungoh Kwon, Ness B. Shroff