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130
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SDM
2009
SIAM
162views Data Mining» more  SDM 2009»
16 years 21 days ago
Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction.
We propose Link Propagation as a new semi-supervised learning method for link prediction problems, where the task is to predict unknown parts of the network structure by using aux...
Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanish...
CP
2004
Springer
15 years 7 months ago
Unary Resource Constraint with Optional Activities
Scheduling is one of the most successful application areas of constraint programming mainly thanks to special global constraints designed to model resource restrictions. Among thes...
Petr Vilím, Roman Barták, Ondrej Cep...
160
Voted
AUTOID
2005
IEEE
15 years 9 months ago
A Fast Algorithm for ICP-Based 3D Shape Biometrics
In a biometrics scenario, gallery images are enrolled into the database ahead of the matching step, which gives us the opportunity to build related data structures before the prob...
Ping Yan, Kevin W. Bowyer
127
Voted
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
15 years 8 months ago
New Usage of SOM for Genetic Algorithms
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
Jung Hwan Kim, Byung Ro Moon
142
Voted
MPC
1995
Springer
150views Mathematics» more  MPC 1995»
15 years 7 months ago
Architecture Independent Massive Parallelization of Divide-and-Conquer Algorithms
Abstract. We present a strategy to develop, in a functional setting, correct, e cient and portable Divide-and-Conquer (DC) programs for massively parallel architectures. Starting f...
Klaus Achatz, Wolfram Schulte