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» Distributed parameter estimation in networks
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WOSS
2004
ACM
15 years 5 months ago
An extensible framework for autonomic analysis and improvement of distributed deployment architectures
A distributed software system’s deployment architecture can have a significant impact on the system’s properties, which depend on various system parameters, such as network ba...
Sam Malek, Marija Mikic-Rakic, Nenad Medvidovic
JMLR
2006
118views more  JMLR 2006»
15 years 12 days ago
Learning Factor Graphs in Polynomial Time and Sample Complexity
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
Pieter Abbeel, Daphne Koller, Andrew Y. Ng
101
Voted
NIPS
2004
15 years 1 months ago
Variational Minimax Estimation of Discrete Distributions under KL Loss
We develop a family of upper and lower bounds on the worst-case expected KL loss for estimating a discrete distribution on a finite number m of points, given N i.i.d. samples. Our...
Liam Paninski
92
Voted
AUTOMATICA
2010
96views more  AUTOMATICA 2010»
15 years 17 days ago
On resampling and uncertainty estimation in Linear System Identification
Linear System Identification yields a nominal model parameter, which minimizes a specific criterion based on the single inputoutput data set. Here we investigate the utility of va...
Simone Garatti, Robert R. Bitmead
IWANN
2001
Springer
15 years 4 months ago
Learning Adaptive Parameters with Restricted Genetic Optimization Method
Abstract. Mechanisms for adapting models, filters, regulators and so on to changing properties of a system are of fundamental importance in many modern identification, estimation...
Santiago Garrido, Luis Moreno