402 search results - page 26 / 81 » Probability, Parallelism and the State Space Exploration Pro... |
135
Voted
RSS
2007
15 years 5 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...
132
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CDC
2009
IEEE
15 years 7 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...
144
Voted
BMCBI
2010
15 years 3 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...
149
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PPSN
2004
Springer
15 years 9 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...
129
Voted
IJCAI
1989
15 years 4 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...