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» Kolmogorov-Loveland Randomness and Stochasticity
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ICML
2007
IEEE
14 years 8 months ago
A permutation-augmented sampler for DP mixture models
We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...
Percy Liang, Michael I. Jordan, Benjamin Taskar
CMSB
2009
Springer
14 years 2 months ago
Approximation of Event Probabilities in Noisy Cellular Processes
Molecular noise, which arises from the randomness of the discrete events in the cell, significantly influences fundamental biological processes. Discrete-state continuous-time st...
Frédéric Didier, Thomas A. Henzinger...
SECON
2008
IEEE
14 years 2 months ago
On Distributed Optimization Using Peer-to-Peer Communications in Wireless Sensor Networks
—We describe and evaluate a suite of distributed and computationally efficient algorithms for solving a class of convex optimization problems in wireless sensor networks. The pr...
Björn Johansson, Cesare M. Carretti, Mikael J...
ICMCS
2006
IEEE
219views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Analysis of Multi-User Congestion Control for Video Streaming Over Wireless Networks
When multiple video sources are live-encoded and transmitted over a common wireless network, each stream needs to adapt its encoding parameters to wireless channel fluctuations, ...
Xiaoqing Zhu, Bernd Girod
VALUETOOLS
2006
ACM
149views Hardware» more  VALUETOOLS 2006»
14 years 1 months ago
Tail asymptotics for discrete event systems
In the context of communication networks, the framework of stochastic event graphs allows a modeling of control mechanisms induced by the communication protocol and an analysis of ...
Marc Lelarge