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» On Approximating Multidimensional Probability Distributions ...
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WSC
1998
13 years 10 months ago
Communicating Structures for Modeling Large-scale Systems
ating Structures is a system abstraction that helps to model large-scale distributed systems, whose performance mostly depends on how well the data and messages traffic is organiz...
Vadim E. Kotov
ACL
2009
13 years 6 months ago
Variational Decoding for Statistical Machine Translation
Statistical models in machine translation exhibit spurious ambiguity. That is, the probability of an output string is split among many distinct derivations (e.g., trees or segment...
Zhifei Li, Jason Eisner, Sanjeev Khudanpur
CORR
2011
Springer
210views Education» more  CORR 2011»
13 years 3 months ago
Statistical Compressed Sensing of Gaussian Mixture Models
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
Guoshen Yu, Guillermo Sapiro
CORR
2008
Springer
139views Education» more  CORR 2008»
13 years 8 months ago
Distance Distributions in Finite Uniformly Random Networks: Theory and Applications
In wireless networks, the knowledge of nodal distances is essential for performance analysis and protocol design. When determining distance distributions in random networks, the u...
Sunil Srinivasa, Martin Haenggi
GECCO
2006
Springer
182views Optimization» more  GECCO 2006»
14 years 10 days ago
Distributed genetic algorithm for energy-efficient resource management in sensor networks
In this work we consider energy-efficient resource management in an environment monitoring and hazard detection sensor network. Our goal is to allocate different detection methods...
Qinru Qiu, Qing Wu, Daniel J. Burns, Douglas Holzh...