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FOSSACS
2003
Springer
15 years 12 months ago
An Intrinsic Characterization of Approximate Probabilistic Bisimilarity
In previous work we have investigated a notion of approximate bisimilarity for labelled Markov processes. We argued that such a notion is more realistic and more feasible to compu...
Franck van Breugel, Michael W. Mislove, Joël ...
NIPS
2008
15 years 8 months ago
Bayesian Model of Behaviour in Economic Games
Classical game theoretic approaches that make strong rationality assumptions have difficulty modeling human behaviour in economic games. We investigate the role of finite levels o...
Debajyoti Ray, Brooks King-Casas, P. Read Montague...
CORR
2010
Springer
48views Education» more  CORR 2010»
15 years 6 months ago
Stochastic Flips on Two-letter Words
This paper introduces a simple Markov process inspired by the problem of quasicrystal growth. It acts over two-letter words by randomly performing flips, a local transformation whi...
Olivier Bodini, Thomas Fernique, Damien Regnault
IJCV
2008
172views more  IJCV 2008»
15 years 6 months ago
Nonparametric Bayesian Image Segmentation
Image segmentation algorithms partition the set of pixels of an image into a specific number of different, spatially homogeneous groups. We propose a nonparametric Bayesian model f...
Peter Orbanz, Joachim M. Buhmann
NIPS
1997
15 years 8 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung