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» Proving Time Bounds for Randomized Distributed Algorithms
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167
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COMPGEOM
2004
ACM
15 years 10 months ago
Locality-sensitive hashing scheme based on p-stable distributions
We present a novel Locality-Sensitive Hashing scheme for the Approximate Nearest Neighbor Problem under ÐÔ norm, based on Ôstable distributions. Our scheme improves the running...
Mayur Datar, Nicole Immorlica, Piotr Indyk, Vahab ...
135
Voted
SODA
2001
ACM
79views Algorithms» more  SODA 2001»
15 years 6 months ago
Learning Markov networks: maximum bounded tree-width graphs
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
David R. Karger, Nathan Srebro
168
Voted
BMCBI
2007
153views more  BMCBI 2007»
15 years 4 months ago
Lower bounds on multiple sequence alignment using exact 3-way alignment
Background: Multiple sequence alignment is fundamental. Exponential growth in computation time appears to be inevitable when an optimal alignment is required for many sequences. E...
Charles J. Colbourn, Sudhir Kumar
SIGCOMM
1996
ACM
15 years 9 months ago
Hierarchical Packet Fair Queueing Algorithms
Hierarchical Packet Fair Queueing (H-PFQ)algorithms have the potential to simultaneously support guaranteed realtime service, rate-adaptive best-eort, and controlled linksharing s...
Jon C. R. Bennett, Hui Zhang
FOCS
2000
IEEE
15 years 9 months ago
The Randomness Recycler: A New Technique for Perfect Sampling
For many probability distributions of interest, it is quite difficult to obtain samples efficiently. Often, Markov chains are employed to obtain approximately random samples fro...
James Allen Fill, Mark Huber