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» Learning Hierarchical Shape Models from Examples
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118
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IJIS
2002
112views more  IJIS 2002»
15 years 2 months ago
Integrating fuzzy topological maps and fuzzy geometric maps for behavior-based robots
ior-based robots, planning is necessary to elaborate abstract plans that resolve complex navigational tasks. Usually maps of the environment are used to plan the robot motion and t...
Eugenio Aguirre, Antonio González
ALIFE
2005
15 years 2 months ago
Transient Phenomena in Learning and Evolution: Genetic Assimilation and Genetic Redistribution
Deacon has recently proposed that complexes of genes can be integrated into functional groups as a result of environmental changes that mask and unmask selection pressures. For exa...
Janet Wiles, James Watson, Bradley Tonkes, Terrenc...
117
Voted
IJAR
2008
161views more  IJAR 2008»
15 years 2 months ago
Bayesian learning for a class of priors with prescribed marginals
We present Bayesian updating of an imprecise probability measure, represented by a class of precise multidimensional probability measures. Choice and analysis of our class are mot...
Hermann Held, Thomas Augustin, Elmar Kriegler
170
Voted
AAMAS
2005
Springer
15 years 2 months ago
Cooperative Multi-Agent Learning: The State of the Art
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
Liviu Panait, Sean Luke
127
Voted
RSEISP
2007
Springer
15 years 8 months ago
Generalizing Data in Natural Language
This paper concerns the development of a new direction in machine learning, called natural induction, which requires from computergenerated knowledge not only to have high predicti...
Ryszard S. Michalski, Janusz Wojtusiak