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ICML
2008
IEEE
14 years 9 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
EWSN
2008
Springer
14 years 8 months ago
A Component Framework for Content-Based Publish/Subscribe in Sensor Networks
Component-based architectures are the traditional approach cile application specific optimization with reusable abstractions in sensor networks. However, they frequently overwhelm ...
Adam Wolisz, Andreas Köpke, Andreas Willig, J...
ISCC
2007
IEEE
14 years 3 months ago
Analysis of Load Dependency of Handover Strategies in Mobile Multiaccess Ambient Networks
Wireless operators incorporate multiradio access technologies aiming at expanding their customer base and benefiting from synergies of existing and planned infrastructure. The res...
Petteri Pöyhönen, Daniel Hollos, Haitao ...
IJCNN
2000
IEEE
14 years 1 months ago
Design and Evaluation of Neural Networks for Coin Recognition by Using GA and SA
In this paper, we propose a method to design a neural network(NN) by using a genetic algorithm(GA) and simulated annealing(SA). And also, in order to demonstrate the effectivenes...
Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu
KDD
2010
ACM
244views Data Mining» more  KDD 2010»
13 years 7 months ago
Finding effectors in social networks
Assume a network (V, E) where a subset of the nodes in V are active. We consider the problem of selecting a set of k active nodes that best explain the observed activation state, ...
Theodoros Lappas, Evimaria Terzi, Dimitrios Gunopu...