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» Computational Alternatives to Random Number Generators
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WSC
2004
13 years 9 months ago
A Large Deviations Perspective on Ordinal Optimization
We consider the problem of optimal allocation of computing budget to maximize the probability of correct selection in the ordinal optimization setting. This problem has been studi...
Peter W. Glynn, Sandeep Juneja
ACL
2012
11 years 10 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
ECCV
2008
Springer
14 years 9 months ago
Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion
Abstract. We describe a new method for unsupervised structure learning of a hierarchical compositional model (HCM) for deformable objects. The learning is unsupervised in the sense...
Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, A...
BROADNETS
2007
IEEE
14 years 1 months ago
Scheduling routing table calculations to achieve fast convergence in OSPF protocol
Fast convergence to topology changes is a key requirement in modern routing infrastructure while reducing the protocol CPU overhead continues to be as important as before. In this...
Mukul Goyal, Weigao Xie, Mohd Soperi, Seyed H. Hos...
HPDC
2010
IEEE
13 years 8 months ago
MPIPairwiseStatSig: parallel pairwise statistical significance estimation of local sequence alignment
Sequence comparison is considered as a cornerstone application in bioinformatics, which forms the basis of many other applications. In particular, pairwise sequence alignment is a...
Ankit Agrawal, Sanchit Misra, Daniel Honbo, Alok N...