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» Matching Algorithms Are Fast in Sparse Random Graphs
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RSA
2002
87views more  RSA 2002»
13 years 7 months ago
Inexpensive d-dimensional matchings
: Suppose that independent U 0 1 weights are assigned to the d 2 n2 edges of the complete d-partite graph with n vertices in each of the d = maximal independent sets. Then the expe...
Bae-Shi Huang, Ljubomir Perkovic, Eric Schmutz
ESA
1998
Springer
154views Algorithms» more  ESA 1998»
14 years 3 days ago
A Functional Approach to External Graph Algorithms
We present a new approach for designing external graph algorithms and use it to design simple, deterministic and randomized external algorithms for computing connected components, ...
James Abello, Adam L. Buchsbaum, Jeffery Westbrook
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
13 years 11 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
ICALP
2009
Springer
14 years 8 months ago
Fast FAST
We present a randomized subexponential time, polynomial space parameterized algorithm for the k-Weighted Feedback Arc Set in Tournaments (k-FAST) problem. We also show that our alg...
Noga Alon, Daniel Lokshtanov, Saket Saurabh
AAAI
1996
13 years 9 months ago
A Graph-Based Method for Improving GSAT
GSAT is a randomized greedy local repair procedure that was introduced for solving propositional satis ability and constraint satisfaction problems. We present an improvement to G...
Kalev Kask, Rina Dechter