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107
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JAIR
2007
151views more  JAIR 2007»
15 years 19 days ago
Topic and Role Discovery in Social Networks with Experiments on Enron and Academic Email
Previous work in social network analysis (SNA) has modeled the existence of links from one entity to another, but not the attributes such as language content or topics on those li...
Andrew McCallum, Xuerui Wang, Andrés Corrad...
87
Voted
NN
1998
Springer
15 years 11 days ago
Statistical estimation of the number of hidden units for feedforward neural networks
The number of required hidden units is statistically estimated for feedforward neural networks that are constructed by adding hidden units one by one. The output error decreases w...
Osamu Fujita
MIDDLEWARE
2010
Springer
14 years 11 months ago
The Gossple Anonymous Social Network
While social networks provide news from old buddies, you can learn a lot more from people you do not know, but with whom you share many interests. We show in this paper how to bui...
Marin Bertier, Davide Frey, Rachid Guerraoui, Anne...
SMC
2010
IEEE
276views Control Systems» more  SMC 2010»
14 years 11 months ago
A Modified Invasive Weed Optimization Algorithm for training of feed- forward Neural Networks
— Invasive Weed Optimization Algorithm IWO) is an ecologically inspired metaheuristic that mimics the process of weeds colonization and distribution and is capable of solving mul...
Ritwik Giri, Aritra Chowdhury, Arnob Ghosh, Swagat...
JMLR
2010
140views more  JMLR 2010»
14 years 7 months ago
Mean Field Variational Approximation for Continuous-Time Bayesian Networks
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
Ido Cohn, Tal El-Hay, Nir Friedman, Raz Kupferman