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STOC
1997
ACM
106views Algorithms» more  STOC 1997»
13 years 9 months ago
Improved Routing and Sorting on Multibutterflies
Bruce M. Maggs, Berthold Vöcking
STOC
1997
ACM
102views Algorithms» more  STOC 1997»
13 years 9 months ago
Improved Low-Degree Testing and its Applications
Sanjeev Arora, Madhu Sudan
STOC
1997
ACM
116views Algorithms» more  STOC 1997»
13 years 10 months ago
Direct Product Results and the GCD Problem, in Old and New Communication Models
This paper contains several results regarding the communication complexity model and the 2-prover games model, which are based on interaction between the two models:
Itzhak Parnafes, Ran Raz, Avi Wigderson
STOC
1997
ACM
131views Algorithms» more  STOC 1997»
13 years 10 months ago
Byzantine Quorum Systems
Dahlia Malkhi, Michael K. Reiter
STOC
1997
ACM
257views Algorithms» more  STOC 1997»
13 years 10 months ago
Practical Loss-Resilient Codes
We present randomized constructions of linear-time encodable and decodable codes that can transmit over lossy channels at rates extremely close to capacity. The encoding and decod...
Michael Luby, Michael Mitzenmacher, Mohammad Amin ...
STOC
1997
ACM
88views Algorithms» more  STOC 1997»
13 years 10 months ago
Spectral Techniques for Expander Codes
John D. Lafferty, Daniel N. Rockmore
STOC
1997
ACM
126views Algorithms» more  STOC 1997»
13 years 10 months ago
Page Replacement with Multi-Size Pages and Applications to Web Caching
We consider the paging problem where the pages have varying size. This problem has applications to page replacement policies for caches containing World Wide Web documents. We con...
Sandy Irani
STOC
1997
ACM
111views Algorithms» more  STOC 1997»
13 years 10 months ago
The Swendsen-Wang Process Does Not Always Mix Rapidly
The Swendsen-Wang process provides one possible dynamics for the Qstate Potts model in statistical physics. Computer simulations of this process are widely used to estimate the ex...
Vivek Gore, Mark Jerrum
STOC
1997
ACM
97views Algorithms» more  STOC 1997»
13 years 10 months ago
Using and Combining Predictors That Specialize
Abstract. We study online learning algorithms that predict by combining the predictions of several subordinate prediction algorithms, sometimes called “experts.” These simple a...
Yoav Freund, Robert E. Schapire, Yoram Singer, Man...