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» Computational complexity of stochastic programming problems
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106
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ICALP
2005
Springer
15 years 8 months ago
How Well Can Primal-Dual and Local-Ratio Algorithms Perform?
We define an algorithmic paradigm, the stack model, that captures many primal-dual and local-ratio algorithms for approximating covering and packing problems. The stack model is ...
Allan Borodin, David Cashman, Avner Magen
113
Voted
SPAA
2003
ACM
15 years 7 months ago
Throughput-centric routing algorithm design
The increasing application space of interconnection networks now encompasses several applications, such as packet routing and I/O interconnect, where the throughput of a routing a...
Brian Towles, William J. Dally, Stephen P. Boyd
115
Voted
DCC
2004
IEEE
16 years 2 months ago
On Some New Approaches to Practical Slepian-Wolf Compression Inspired by Channel Coding
We introduce three new innovations for compression using LDPCs for the Slepian-Wolf problem. The first is a general iterative Slepian-Wolf decoding algorithm that incorporates the...
Anna H. Lee, Michelle Effros, Muriel Médard...
145
Voted
CONEXT
2005
ACM
15 years 4 months ago
Optimal positioning of active and passive monitoring devices
Network measurement is essential for assessing performance issues, identifying and locating problems. Two common strategies are the passive approach that attaches specific device...
Claude Chaudet, Eric Fleury, Isabelle Guéri...
ACMSE
2010
ACM
14 years 9 months ago
Learning to rank using 1-norm regularization and convex hull reduction
The ranking problem appears in many areas of study such as customer rating, social science, economics, and information retrieval. Ranking can be formulated as a classification pro...
Xiaofei Nan, Yixin Chen, Xin Dang, Dawn Wilkins