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» Minimum Cycle Bases in Graphs Algorithms and Applications
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PPL
2000
110views more  PPL 2000»
13 years 8 months ago
Faulty Random Geometric Networks
In this paper we analyze the computational power of random geometric networks in the presence of random (edge or node) faults considering several important network parameters. We ...
Josep Díaz, Jordi Petit, Maria J. Serna
FLAIRS
2000
13 years 9 months ago
Independence Semantics for BKBs
Bayesian KnowledgeBases (BKB)are a rule-based probabilistic modelthat extend BayesNetworks(BN), by allowing context-sensitive independenceand cycles in the directed graph. BKBshav...
Solomon Eyal Shimony, Eugene Santos Jr., Tzachi Ro...
STOC
2003
ACM
171views Algorithms» more  STOC 2003»
14 years 8 months ago
Primal-dual meets local search: approximating MST's with nonuniform degree bounds
We present a new bicriteria approximation algorithm for the degree-bounded minimum-cost spanning tree problem: Given an undirected graph with nonnegative edge weights and degree b...
Jochen Könemann, R. Ravi
IMECS
2007
13 years 9 months ago
Using Background Knowledge for Graph Based Learning: A Case Study in Chemoinformatics
The benefit of incorporating background knowledge in the learning process has been successfully demonstrated in numerous applications of ILP methods. Nevertheless the effect of inc...
Thashmee Karunaratne, Henrik Boström
GLVLSI
2002
IEEE
109views VLSI» more  GLVLSI 2002»
14 years 1 months ago
Minimizing resources in a repeating schedule for a split-node data-flow graph
Many computation-intensive or recursive applications commonly found in digital signal processing and image processing applications can be represented by data-flow graphs (DFGs). ...
Timothy W. O'Neil, Edwin Hsing-Mean Sha