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128
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ADMI
2010
Springer
15 years 2 months ago
Probabilistic Modeling of Mobile Agents' Trajectories
Abstract. We present a method for learning characteristic motion patterns of mobile agents. The method works on two levels. On the first level, it uses the expectation-maximization...
Stepán Urban, Michal Jakob, Michal Pechouce...
98
Voted
PPSN
2010
Springer
14 years 11 months ago
Evolving a Single Scalable Controller for an Octopus Arm with a Variable Number of Segments
Abstract. While traditional approaches to machine learning are sensitive to highdimensional state and action spaces, this paper demonstrates how an indirectly encoded neurocontroll...
Brian G. Woolley, Kenneth O. Stanley
68
Voted
VRCAI
2004
ACM
15 years 6 months ago
A web-based system for interactive visualization of scientific concepts
ion visualization is valuable in learning abstract ideas and new concepts. The existing technology for publishing online papers is lacking in terms of user interaction as well as ...
Ker Sin Neo, Qingping Lin, Robert K. L. Gay
109
Voted
IJCNN
2006
IEEE
15 years 6 months ago
Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs
Abstract— While the model parameters of many kernel learning methods are given by the solution of a convex optimisation problem, the selection of good values for the kernel and r...
Gavin C. Cawley
96
Voted
GECCO
2004
Springer
101views Optimization» more  GECCO 2004»
15 years 6 months ago
Trap Avoidance in Strategic Computer Game Playing with Case Injected Genetic Algorithms
Abstract. We use case injected genetic algorithms to learn to competently play computer strategy games. Such games are characterized by player decision in anticipation of opponent ...
Chris Miles, Sushil J. Louis, Rich Drewes