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» Monte Carlo Localization with Mixture Proposal Distribution
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UAI
2004
13 years 9 months ago
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Iain Murray, Zoubin Ghahramani
RT
2001
Springer
14 years 1 days ago
Path Differentials and Applications
Abstract. Photo-realistic rendering algorithms such as Monte Carlo ray tracing sample individual paths to compute images. Noise and aliasing artefacts are usually reduced by supers...
Frank Suykens, Yves D. Willems
GECCO
2006
Springer
13 years 11 months ago
Dominance hierarchies and social diversity in multi-agent systems
In this study, we investigate self-organizing social hierarchies in multi-agent systems. Agents occupy the nodes of a smallworld network and interact exclusively with other agents...
Michael Kirley
UAI
2000
13 years 9 months ago
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
EUROGRAPHICS
2010
Eurographics
14 years 4 months ago
Uncertain 2D Vector Field Topology
We introduce an approach to visualize stationary 2D vector fields with global uncertainty obtained by considering the transport of local uncertainty in the flow. For this, we ex...
Mathias Otto, Tobias Germer, Hans-Christian Hege, ...