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» Algorithms for Large, Sparse Network Alignment Problems
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INFOCOM
2007
IEEE
15 years 8 months ago
Low-Complexity and Distributed Energy Minimization in Multi-Hop Wireless Networks
— In this work, we study the problem of minimizing the total power consumption in a multi-hop wireless network subject to a given offered load. It is well-known that the total po...
Longbi Lin, Xiaojun Lin, Ness B. Shroff
117
Voted
CEC
2010
IEEE
15 years 3 months ago
Two novel Ant Colony Optimization approaches for Bayesian network structure learning
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
Yanghui Wu, John A. W. McCall, David W. Corne
116
Voted
ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
15 years 7 months ago
Structure Search and Stability Enhancement of Bayesian Networks
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
Hanchuan Peng, Chris H. Q. Ding
106
Voted
INFOCOM
2003
IEEE
15 years 7 months ago
TCP-LP: A Distributed Algorithm for Low Priority Data Transfer
— Service prioritization among different traffic classes is an important goal for the future Internet. Conventional approaches to solving this problem consider the existing best...
Aleksandar Kuzmanovic, Edward W. Knightly
PDP
2005
IEEE
15 years 8 months ago
Some Solutions for Peer-to-Peer Global Computing
the emergence of Internet and new kind of architecture, likepeer-to-peer (P2P) networks, provides great hope for distributed computation. However, the combination of the world of ...
Guillaume Jourjon, Didier El Baz