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» Algorithms for the Sample Mean of Graphs
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EJC
2007
15 years 4 months ago
Quickly deciding minor-closed parameters in general graphs
We construct algorithms for deciding essentially any minor-closed parameter, with explicit time bounds. This result strengthens previous results by Robertson and Seymour [1,2], Fr...
Erik D. Demaine, Mohammad Taghi Hajiaghayi
COLT
2004
Springer
15 years 9 months ago
Regularization and Semi-supervised Learning on Large Graphs
We consider the problem of labeling a partially labeled graph. This setting may arise in a number of situations from survey sampling to information retrieval to pattern recognition...
Mikhail Belkin, Irina Matveeva, Partha Niyogi
ICRA
2002
IEEE
106views Robotics» more  ICRA 2002»
15 years 9 months ago
An Improved Random Neighborhood Graph Approach
As a general framework to determine a collision-free feedback motion strategies, the Random Neighborhood Graph (RNG) approach [19] defines a global navigation function over an ap...
Libo Yang, Steven M. LaValle
CORR
2010
Springer
131views Education» more  CORR 2010»
15 years 4 months ago
A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering
We formulate weighted graph clustering as a prediction problem1 : given a subset of edge weights we analyze the ability of graph clustering to predict the remaining edge weights. ...
Yevgeny Seldin
ILP
2004
Springer
15 years 9 months ago
A Monte Carlo Study of Randomised Restarted Search in ILP
Recent statistical performance surveys of search algorithms in difficult combinatorial problems have demonstrated the benefits of randomising and restarting the search procedure. ...
Filip Zelezný, Ashwin Srinivasan, David Pag...