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IWCMC
2010
ACM
15 years 8 months ago
On the use of random neural networks for traffic matrix estimation in large-scale IP networks
Despite a large body of literature and methods devoted to the Traffic Matrix (TM) estimation problem, the inference of traffic flows volume from aggregated data still represents a ...
Pedro Casas, Sandrine Vaton
ASUNAM
2010
IEEE
15 years 8 months ago
A Unified Framework for Link Recommendation Using Random Walks
The phenomenal success of social networking sites, such as Facebook, Twitter and LinkedIn, has revolutionized the way people communicate. This paradigm has attracted the attention ...
Zhijun Yin, Manish Gupta, Tim Weninger, Jiawei Han
IJCAI
2007
15 years 8 months ago
Recursive Random Fields
A formula in first-order logic can be viewed as a tree, with a logical connective at each node, and a knowledge base can be viewed as a tree whose root is a conjunction. Markov l...
Daniel Lowd, Pedro Domingos
BIOCOMP
2006
15 years 8 months ago
Theoretical Bounds for the Number of Inferable Edges in Sparse Random Networks
Abstract-- The inference of a network structure from experimental data providing dynamical information about the underlying system of investigation is an important and still outsta...
Frank Emmert-Streib, Matthias Dehmer
CLEF
2010
Springer
15 years 6 months ago
Random Sampling Image to Class Distance for Photo Annotation
Image classification or annotation is proved difficult for the computer algorithms. The Naive-Bayes Nearest Neighbor method is proposed to tackle the problem, and achieved the stat...
Deyuan Zhang, Bingquan Liu, Chengjie Sun, Xiaolong...