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COLT
2010
Springer
15 years 1 months ago
Forest Density Estimation
We study graph estimation and density estimation in high dimensions, using a family of density estimators based on forest structured undirected graphical models. For density estim...
Anupam Gupta, John D. Lafferty, Han Liu, Larry A. ...
CEC
2011
IEEE
14 years 2 months ago
Stochastic Natural Gradient Descent by estimation of empirical covariances
—Stochastic relaxation aims at finding the minimum of a fitness function by identifying a proper sequence of distributions, in a given model, that minimize the expected value o...
Luigi Malagò, Matteo Matteucci, Giovanni Pi...
ICMCS
2006
IEEE
142views Multimedia» more  ICMCS 2006»
15 years 9 months ago
Distributed Streaming via Packet Partitioning
We propose a system for adaptive streaming from multiple servers to a single receiver over separate network paths. Based on incoming packets, the receiver estimates the available ...
Jacob Chakareski, Pascal Frossard
DSD
2008
IEEE
166views Hardware» more  DSD 2008»
15 years 9 months ago
Pearson - based Analysis of Positioning Error Distribution in Wireless Sensor Networks
Abstract—In two recent contributions [1], [2], we have provided a comparative analysis of various optimization algorithms, which can be used for atomic location estimation, and s...
Stefano Tennina, Marco Di Renzo, Fabio Graziosi, F...
JAMDS
2000
90views more  JAMDS 2000»
15 years 2 months ago
Stratified filtered sampling in stochastic optimization
We develop a methodology for evaluating a decision strategy generated by a stochastic optimization model. The methodology is based on a pilot study in which we estimate the distri...
Robert Rush, John M. Mulvey, John E. Mitchell, Tho...