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COMBINATORICS
2006
132views more  COMBINATORICS 2006»
13 years 7 months ago
On Computing the Distinguishing Numbers of Trees and Forests
Let G be a graph. A vertex labeling of G is distinguishing if the only label-preserving automorphism of G is the identity map. The distinguishing number of G, D(G), is the minimum...
Christine T. Cheng
SSDBM
2011
IEEE
239views Database» more  SSDBM 2011»
12 years 11 months ago
Recipes for Baking Black Forest Databases - Building and Querying Black Hole Merger Trees from Cosmological Simulations
Large-scale N-body simulations play an important role in advancing our understanding of the formation and evolution of large structures in the universe. These computations require ...
Julio López, Colin Degraf, Tiziana DiMatteo...
ICIC
2009
Springer
13 years 5 months ago
Towards a Better Understanding of Random Forests through the Study of Strength and Correlation
In this paper we present a study on the Random Forest (RF) family of ensemble methods. From our point of view, a "classical" RF induction process presents two main drawba...
Simon Bernard, Laurent Heutte, Sébastien Ad...
ICALP
2007
Springer
14 years 1 months ago
A Combinatorial Theorem for Trees
Following the idea developed by I. Simon in his theorem of Ramseyan factorisation forests, we develop a result of ‘deterministic factorisations’. This extra determinism propert...
Thomas Colcombet
IBPRIA
2007
Springer
13 years 11 months ago
Random Forest for Gene Expression Based Cancer Classification: Overlooked Issues
Random forest is a collection (ensemble) of decision trees. It is a popular ensemble technique in pattern recognition. In this article, we apply random forest for cancer classifica...
Oleg Okun, Helen Priisalu