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» The metamathematics of random graphs
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ICML
2010
IEEE
15 years 2 months ago
Learning Temporal Causal Graphs for Relational Time-Series Analysis
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
Yan Liu 0002, Alexandru Niculescu-Mizil, Aurelie C...
140
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SAC
2010
ACM
15 years 8 months ago
Spanders: distributed spanning expanders
We consider self-stabilizing and self-organizing distributed construction of a spanner that forms an expander. The following results are presented. • A randomized technique to r...
Shlomi Dolev, Nir Tzachar
COCO
2007
Springer
93views Algorithms» more  COCO 2007»
15 years 8 months ago
S-T Connectivity on Digraphs with a Known Stationary Distribution
We present a deterministic logspace algorithm for solving S-T Connectivity on directed graphs if (i) we are given a stationary distribution of the random walk on the graph in whic...
Kai-Min Chung, Omer Reingold, Salil P. Vadhan
139
Voted
TON
2008
106views more  TON 2008»
15 years 1 months ago
On static and dynamic partitioning behavior of large-scale P2P networks
Abstract--In this paper, we analyze the problem of network disconnection in the context of large-scale P2P networks and understand how both static and dynamic patterns of node fail...
Derek Leonard, Zhongmei Yao, Xiaoming Wang, Dmitri...
ICML
2006
IEEE
16 years 2 months ago
An analysis of graph cut size for transductive learning
I consider the setting of transductive learning of vertex labels in graphs, in which a graph with n vertices is sampled according to some unknown distribution; there is a true lab...
Steve Hanneke