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» Learning Classes of Probabilistic Automata
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CORR
2011
Springer
222views Education» more  CORR 2011»
13 years 2 months ago
Generic Trace Logics
Finite trace semantics is known and well understood for classical automata and non-deterministic labelled transition systems. Jacobs et al introduced a more general definition fo...
Christian Kissig, Alexander Kurz
ACL
2012
11 years 9 months ago
Semantic Parsing with Bayesian Tree Transducers
Many semantic parsing models use tree transformations to map between natural language and meaning representation. However, while tree transformations are central to several state-...
Bevan K. Jones, Mark Johnson, Sharon Goldwater
IJAR
2010
152views more  IJAR 2010»
13 years 5 months ago
Structural-EM for learning PDG models from incomplete data
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
Jens D. Nielsen, Rafael Rumí, Antonio Salme...
IANDC
2007
152views more  IANDC 2007»
13 years 7 months ago
The reactive simulatability (RSIM) framework for asynchronous systems
We define reactive simulatability for general asynchronous systems. Roughly, simulatability means that a real system implements an ideal system (specification) in a way that pre...
Michael Backes, Birgit Pfitzmann, Michael Waidner
ICPR
2008
IEEE
14 years 1 months ago
Top down image segmentation using congealing and graph-cut
This paper develops a weakly supervised algorithm that learns to segment rigid multi-colored objects from a set of training images and key points. The approach uses congealing to ...
Douglas Moore, John Stevens, Scott Lundberg, Bruce...