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» Solving Demodulation as an Optimization Problem
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106
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AAAI
2006
15 years 4 months ago
Techniques for Generating Optimal, Robust Plans when Temporal Uncertainty is Present
Planning under uncertainty has been well studied, but usually the uncertainty is in action outcomes. This work instead investigates uncertainty in the amount of time that actions ...
Janae N. Foss
144
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AUTOMATICA
2007
82views more  AUTOMATICA 2007»
15 years 3 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...
AE
2007
Springer
15 years 9 months ago
On the Design of Adaptive Control Strategies for Evolutionary Algorithms
This paper focuses on the design of control strategies for Evolutionary Algorithms. We propose a method to encapsulate multiple parameters, reducing control to only one criterion. ...
Jorge Maturana, Frédéric Saubion
NIPS
2001
15 years 4 months ago
A General Greedy Approximation Algorithm with Applications
Greedy approximation algorithms have been frequently used to obtain sparse solutions to learning problems. In this paper, we present a general greedy algorithm for solving a class...
T. Zhang
UAI
2001
15 years 4 months ago
Maximum Likelihood Bounded Tree-Width Markov Networks
We study the problem of projecting a distribution onto (or finding a maximum likelihood distribution among) Markov networks of bounded tree-width. By casting it as the combinatori...
Nathan Srebro