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CORR
2012
Springer
198views Education» more  CORR 2012»
14 years 2 months ago
Lipschitz Parametrization of Probabilistic Graphical Models
We show that the log-likelihood of several probabilistic graphical models is Lipschitz continuous with respect to the ￿p-norm of the parameters. We discuss several implications ...
Jean Honorio
ICC
2007
IEEE
139views Communications» more  ICC 2007»
16 years 18 days ago
Impatient Backoff Algorithm: Fairness in a Distributed Ad-Hoc MAC
— Many distributed multiple access (MAC) protocols use an exponential backoff mechanism. In that mechanism, a node picks a random backoff time uniformly in an interval that doubl...
Rajarshi Gupta, Jean C. Walrand
CLOR
2006
15 years 10 months ago
Sequential Learning of Layered Models from Video
Abstract. A popular framework for the interpretation of image sequences is the layers or sprite model, see e.g. [1], [2]. Jojic and Frey [3] provide a generative probabilistic mode...
Michalis K. Titsias, Christopher K. I. Williams
ESA
2006
Springer
77views Algorithms» more  ESA 2006»
15 years 10 months ago
Negative Examples for Sequential Importance Sampling of Binary Contingency Tables
The sequential importance sampling (SIS) algorithm has gained considerable popularity for its empirical success. One of its noted applications is to the binary contingency tables p...
Ivona Bezáková, Alistair Sinclair, D...
ISCAPDCS
2001
15 years 7 months ago
Bandwidth Learning in Distributed Networking Environments for Global Information Dissemination
- This work investigates bandwidth learning algorithms in a version of a distributed heterogeneous data dissemination system called the Agile Information Control Environment (AICE)...
Craig Sullivan, Michael Jurczyk