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ECML
2007
Springer
14 years 2 months ago
On Phase Transitions in Learning Sparse Networks
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ron...
GECCO
2005
Springer
151views Optimization» more  GECCO 2005»
14 years 1 months ago
Backward-chaining genetic programming
Tournament selection is the most frequently used form of selection in genetic programming (GP). Tournament selection chooses individuals uniformly at random from the population. A...
Riccardo Poli, William B. Langdon
CIAC
1994
Springer
148views Algorithms» more  CIAC 1994»
14 years 2 days ago
Efficient Reorganization of Binary Search Trees
We consider the problem of maintaining a binary search tree (BST) that minimizes the average access cost needed to satisfy randomly generated requests. We analyze scenarios in whi...
Micha Hofri, Hadas Shachnai
NETWORKING
2008
13 years 9 months ago
Cooperative Replication in Content Networks with Nodes under Churn
In content networks, a replication group refers to a set of nodes that cooperate with each other to retrieve information objects from a distant server. Each node locally replicates...
Eva Jaho, Ioannis Z. Koukoutsidis, Ioannis Stavrak...
TSMC
2008
138views more  TSMC 2008»
13 years 7 months ago
Fast Diagnosis With Sensors of Uncertain Quality
This correspondence presents an approach to the detection and isolation of component failures in large-scale systems. In the case of sensors that report at rates of 1 Hz or less, t...
Ozgur Erdinc, Craig Brideau, Peter Willett, Thiaga...