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» Using Determining Sets to Distinguish Kneser Graphs
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SWAT
2004
Springer
98views Algorithms» more  SWAT 2004»
15 years 9 months ago
Tight Approximability Results for Test Set Problems in Bioinformatics
In this paper, we investigate the test set problem and its variations that appear in a variety of applications. In general, we are given a universe of objects to be “distinguish...
Piotr Berman, Bhaskar DasGupta, Ming-Yang Kao
CORR
2007
Springer
69views Education» more  CORR 2007»
15 years 4 months ago
Lossless Representation of Graphs using Distributions
We consider complete graphs with edge weights and/or node weights taking values in some set. In the first part of this paper, we show that a large number of graphs are completely...
Mireille Boutin, Gregor Kemper
TCS
2008
15 years 3 months ago
Setting port numbers for fast graph exploration
We consider the problem of periodic graph exploration by a finite automaton in which an automaton with a constant number of states has to explore all unknown anonymous graphs of a...
David Ilcinkas
ESANN
2008
15 years 5 months ago
Multi-class classification of ovarian tumors
In this work, we developed classifiers to distinguish between four ovarian tumor types using Bayesian least squares support vector machines (LS-SVMs) and kernel logistic regression...
Ben Van Calster, Dirk Timmerman, Antonia C. Testa,...
PKDD
2004
Springer
147views Data Mining» more  PKDD 2004»
15 years 9 months ago
Using a Hash-Based Method for Apriori-Based Graph Mining
The problem of discovering frequent subgraphs of graph data can be solved by constructing a candidate set of subgraphs first, and then, identifying within this candidate set those...
Phu Chien Nguyen, Takashi Washio, Kouzou Ohara, Hi...