402 search results - page 26 / 81 » Probability, Parallelism and the State Space Exploration Pro... |
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2007
13 years 9 months ago
2007
Abstract— This paper presents the Discrete Search Leading continuous eXploration (DSLX) planner, a multi-resolution approach to motion planning that is suitable for challenging p...
CDC
2009
IEEE
13 years 12 months ago
2009
IEEE
This paper studies the input design problem for system identification where time domain constraints have to be considered. A finite Markov chain is used to model the input of the s...
BMCBI
2010
13 years 8 months ago
2010
Background: Traditional algorithms for hidden Markov model decoding seek to maximize either the probability of a state path or the number of positions of a sequence assigned to th...
PPSN
2004
Springer
14 years 1 months ago
2004
Springer
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
IJCAI
1989
13 years 9 months ago
1989
In many applications in mobile robotics, it is important for a robot to explore its environment in order to construct a representation of space useful for guiding movement. We refe...