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ICRA
2010
IEEE
158views Robotics» more  ICRA 2010»
14 years 7 months ago
Localization of probabilistic robot formations in SLAM
This paper presents an EKF-based approach to the problem of robot formation pose tracking in SLAM when a previously built feature-based stochastic map of a navigation area is avail...
Maria Teresa Lazaro, José A. Castellanos
TSMC
2002
105views more  TSMC 2002»
14 years 9 months ago
V-Lab-a virtual laboratory for autonomous agents-SLA-based learning controllers
In this paper, we present the use of stochastic learning automata (SLA) in mutliagent robotics. In order to fully utilize and implement learning control algorithms in the control o...
Aly I. El-Osery, John Burge, Mohammad Jamshidi, An...
ICML
2004
IEEE
15 years 10 months ago
Utile distinction hidden Markov models
This paper addresses the problem of constructing good action selection policies for agents acting in partially observable environments, a class of problems generally known as Part...
Daan Wierstra, Marco Wiering
87
Voted
CSB
2003
IEEE
113views Bioinformatics» more  CSB 2003»
15 years 3 months ago
An Optimal DNA Segmentation Based on the MDL Principle
: The biological world is highly stochastic and inhomogeneous in its behaviour. There are regions in DNA with high concentration of G or C bases; stretches of sequences with an abu...
Wojciech Szpankowski, Wenhui Ren, Lukasz Szpankows...
AEI
2005
99views more  AEI 2005»
14 years 9 months ago
Comparison among five evolutionary-based optimization algorithms
Evolutionary algorithms (EAs) are stochastic search methods that mimic the natural biological evolution and/or the social behavior of species. Such algorithms have been developed ...
Emad Elbeltagi, Tarek Hegazy, Donald E. Grierson