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NIPS
2004
15 years 6 months ago
Following Curved Regularized Optimization Solution Paths
Regularization plays a central role in the analysis of modern data, where non-regularized fitting is likely to lead to over-fitted models, useless for both prediction and interpre...
Saharon Rosset
AUTOMATICA
2007
82views more  AUTOMATICA 2007»
15 years 5 months ago
Simulation-based optimal sensor scheduling with application to observer trajectory planning
The sensor scheduling problem can be formulated as a controlled hidden Markov model and this paper solves the problem when the state, observation and action spaces are continuous....
Sumeetpal S. Singh, Nikolaos Kantas, Ba-Ngu Vo, Ar...
TIT
2008
91views more  TIT 2008»
15 years 5 months ago
Uncoded Transmission Is Exactly Optimal for a Simple Gaussian "Sensor" Network
One of the simplest sensor network models has one single underlying Gaussian source of interest, observed by many sensors, subject to independent Gaussian observation noise. The se...
Michael Gastpar
AUTOMATICA
2004
109views more  AUTOMATICA 2004»
15 years 4 months ago
Optimal stationary behavior for a class of timed continuous Petri nets
In this paper, we consider a deterministic timed continuous Petri net model where conflicts at places are solved by using stationary routing parameters. We show how to compute the...
Bruno Gaujal, Alessandro Giua
108
Voted
AROBOTS
2000
108views more  AROBOTS 2000»
15 years 4 months ago
Optimal Selection of Uncertain Actions by Maximizing Expected Utility
A new means of action selection via utility fusion is introduced as an alternative to both sensor fusion and command fusion. Distributed asynchronous behaviors indicate the utility...
Julio Rosenblatt