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AUTOMATICA
2006
122views more  AUTOMATICA 2006»
13 years 7 months ago
Gibbs sampler-based coordination of autonomous swarms
In this paper a novel, Gibbs sampler-based algorithm is proposed for coordination of autonomous swarms. The swarm is modeled as a Markov random field (MRF) on a graph with a time-...
Wei Xi, Xiaobo Tan, John S. Baras
JMLR
2010
163views more  JMLR 2010»
13 years 2 months ago
Active Sequential Learning with Tactile Feedback
We consider the problem of tactile discrimination, with the goal of estimating an underlying state parameter in a sequential setting. If the data is continuous and highdimensional...
Hannes Saal, Jo-Anne Ting, Sethu Vijayakumar
ISBI
2008
IEEE
14 years 8 months ago
Application of a spatially variant system model for 3-D whole-body pet image reconstruction
Accurate system modeling in tomographic image reconstruction has been shown to reduce the spatial variance of resolution and improve quantitative accuracy. System modeling can be ...
Adam M. Alessio, Paul E. Kinahan
JMLR
2010
121views more  JMLR 2010»
13 years 2 months ago
Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation
Collapsed Gibbs sampling is a frequently applied method to approximate intractable integrals in probabilistic generative models such as latent Dirichlet allocation. This sampling ...
Han Xiao, Thomas Stibor
LICS
1994
IEEE
13 years 11 months ago
Higher-Order Narrowing
Higher-order narrowing is a general method for higher-order equational reasoning and serves for instance as the foundation for the integration of functional and logic programming. ...
Christian Prehofer