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APPROX
2004
Springer
105views Algorithms» more  APPROX 2004»
15 years 4 months ago
Counting Connected Graphs and Hypergraphs via the Probabilistic Method
While it is exponentially unlikely that a sparse random graph or hypergraph is connected, with probability 1 − o(1) such a graph has a “giant component” that, given its numbe...
Amin Coja-Oghlan, Cristopher Moore, Vishal Sanwala...
SWAT
2004
Springer
129views Algorithms» more  SWAT 2004»
15 years 4 months ago
Collective Tree Spanners of Graphs
In this paper we introduce a new notion of collective tree spanners. We say that a graph G = (V, E) admits a system of µ collective additive tree r-spanners if there is a system T...
Feodor F. Dragan, Chenyu Yan, Irina Lomonosov
CHI
2010
ACM
15 years 4 months ago
Clutching at straws: using tangible interaction to provide non-visual access to graphs
We present a tangible user interface (TUI) called Tangible Graph Builder, that has been designed to allow visually impaired users to access graph and chart-based data. We describe...
David K. McGookin, Euan Robertson, Stephen A. Brew...
KDD
2009
ACM
172views Data Mining» more  KDD 2009»
15 years 3 months ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
AIPS
2008
15 years 1 months ago
Unifying the Causal Graph and Additive Heuristics
Many current heuristics for domain-independent planning, such as Bonet and Geffner's additive heuristic and Hoffmann and Nebel's FF heuristic, are based on delete relaxa...
Malte Helmert, Hector Geffner