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KDD
2009
ACM
194views Data Mining» more  KDD 2009»
16 years 3 months ago
Combining link and content for community detection: a discriminative approach
In this paper, we consider the problem of combining link and content analysis for community detection from networked data, such as paper citation networks and Word Wide Web. Most ...
Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu
TNN
2010
234views Management» more  TNN 2010»
14 years 9 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
TOG
2012
271views Communications» more  TOG 2012»
13 years 5 months ago
Mass splitting for jitter-free parallel rigid body simulation
We present a parallel iterative rigid body solver that avoids common artifacts at low iteration counts. In large or real-time simulations, iteration is often terminated before con...
Richard Tonge, Feodor Benevolenski, Andrey Voroshi...
ASIAN
2003
Springer
111views Algorithms» more  ASIAN 2003»
15 years 8 months ago
Unreliable Failure Detectors via Operational Semantics
Abstract. The concept of unreliable failure detectors for reliable distributed systems was introduced by Chandra and Toueg as a fine-grained means to add weak forms of synchrony i...
Uwe Nestmann, Rachele Fuzzati
APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
15 years 8 months ago
Sampling Bounds for Stochastic Optimization
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
Moses Charikar, Chandra Chekuri, Martin Pál