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COLT
1992
Springer
15 years 4 months ago
Language Learning from Stochastic Input
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
Shyam Kapur, Gianfranco Bilardi
106
Voted
HOTOS
2007
IEEE
15 years 4 months ago
Hyperspaces for Object Clustering and Approximate Matching in Peer-to-Peer Overlays
Existing distributed hash tables provide efficient mechanisms for storing and retrieving a data item based on an exact key, but are unsuitable when the search key is similar, but ...
Bernard Wong, Ymir Vigfusson, Emin Gün Sirer
FOCS
2005
IEEE
15 years 6 months ago
On Learning Mixtures of Heavy-Tailed Distributions
We consider the problem of learning mixtures of arbitrary symmetric distributions. We formulate sufficient separation conditions and present a learning algorithm with provable gua...
Anirban Dasgupta, John E. Hopcroft, Jon M. Kleinbe...
CORR
2010
Springer
104views Education» more  CORR 2010»
15 years 23 days ago
Distributed Successive Approximation Coding using Broadcast Advantage: The Two-Encoder Case
Abstract-- Traditional distributed source coding rarely considers the possible link between separate encoders. However, the broadcast nature of wireless communication in sensor net...
Zichong Chen, Guillermo Barrenetxea, Martin Vetter...
128
Voted
IPSN
2005
Springer
15 years 6 months ago
A scheme for robust distributed sensor fusion based on average consensus
— We consider a network of distributed sensors, where each sensor takes a linear measurement of some unknown parameters, corrupted by independent Gaussian noises. We propose a si...
Lin Xiao, Stephen P. Boyd, Sanjay Lall