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FLAIRS
2008
15 years 4 days ago
ThomCat: A Bayesian Blackboard Model of Hierarchical Temporal Perception
We present a Bayesian blackboard system for temporal perception, applied to a minidomain task in musical scene analysis. It is similar to the classic Copycat architecture (Hofstad...
Charles W. Fox
NIPS
2001
14 years 11 months ago
Covariance Kernels from Bayesian Generative Models
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
Matthias Seeger

Publication
252views
15 years 1 months ago
Context models on sequences of covers
We present a class of models that, via a simple construction, enables exact, incremental, non-parametric, polynomial-time, Bayesian inference of conditional measures. The approac...
Christos Dimitrakakis
MICCAI
2009
Springer
15 years 11 months ago
Anatomically Informed Bayesian Model Selection for fMRI Group Data Analysis
Merlin Keller, Marc Lavielle, Matthieu Perrot, ...
ECML
2007
Springer
15 years 4 months ago
Bayesian Inference for Sparse Generalized Linear Models
We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...
Matthias Seeger, Sebastian Gerwinn, Matthias Bethg...