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» A Graph Pebbling Algorithm on Weighted Graphs
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ICML
2009
IEEE
14 years 9 months ago
Graph construction and b-matching for semi-supervised learning
Graph based semi-supervised learning (SSL) methods play an increasingly important role in practical machine learning systems. A crucial step in graph based SSL methods is the conv...
Tony Jebara, Jun Wang, Shih-Fu Chang
IWPC
2000
IEEE
14 years 1 months ago
The Effect of Call Graph Construction Algorithms for Object-Oriented Programs on Automatic Clustering
Call graphs are commonly used as input for automatic clustering algorithms, the goal of which is to extract the high level structure of the program under study. Determining the ca...
Derek Rayside, Steve Reuss, Erik Hedges, Kostas Ko...
SIAMCOMP
2002
113views more  SIAMCOMP 2002»
13 years 8 months ago
Fast Greedy Algorithms for Constructing Sparse Geometric Spanners
Given a set V of n points in Rd and a real constant t > 1, we present the first O(n log n)-time algorithm to compute a geometric t-spanner on V . A geometric t-spanner on V is a...
Joachim Gudmundsson, Christos Levcopoulos, Giri Na...
TIT
1998
79views more  TIT 1998»
13 years 8 months ago
Greedy and Heuristic Algorithms for Codes and Colorings
Abstract— Many of the fundamental coding problems can be represented as graph problems. These problems are often intrinsically difficult and unsolved even if the code length is ...
Tuvi Etzion, Patric R. J. Östergård
NETWORK
2010
122views more  NETWORK 2010»
13 years 3 months ago
Betweenness centrality and resistance distance in communication networks
In this article we report on applications and extensions of weighted graph theory in the design and control of communication networks. We model the communication network as a weig...
Ali Tizghadam, Alberto Leon-Garcia