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» Introduction to Randomized Algorithms
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ACL
2012
13 years 8 months ago
Discriminative Pronunciation Modeling: A Large-Margin, Feature-Rich Approach
We address the problem of learning the mapping between words and their possible pronunciations in terms of sub-word units. Most previous approaches have involved generative modeli...
Hao Tang, Joseph Keshet, Karen Livescu
ICDCS
2012
IEEE
13 years 8 months ago
DARD: Distributed Adaptive Routing for Datacenter Networks
Datacenter networks typically have many paths connecting each host pair to achieve high bisection bandwidth for arbitrary communication patterns. Fully utilizing the bisection ban...
Xin Wu, Xiaowei Yang
ICML
2006
IEEE
16 years 7 months ago
Graph model selection using maximum likelihood
In recent years, there has been a proliferation of theoretical graph models, e.g., preferential attachment and small-world models, motivated by real-world graphs such as the Inter...
Adam Kalai, Ivona Bezáková, Rahul Sa...
ICML
2004
IEEE
16 years 7 months ago
Approximate inference by Markov chains on union spaces
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
Max Welling, Michal Rosen-Zvi, Yee Whye Teh
STOC
2006
ACM
134views Algorithms» more  STOC 2006»
16 years 6 months ago
Byzantine agreement in the full-information model in O(log n) rounds
We present a randomized Byzantine Agreement (BA) protocol with an expected running time of O(log n) rounds, in a synchronous full-information network of n players. For any constan...
Michael Ben-Or, Elan Pavlov, Vinod Vaikuntanathan