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» Logic for Modeling Product Structure
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NIPS
2001
13 years 9 months ago
Probabilistic principles in unsupervised learning of visual structure: human data and a model
To find out how the representations of structured visual objects depend on the co-occurrence statistics of their constituents, we exposed subjects to a set of composite images wit...
Shimon Edelman, Benjamin P. Hiles, Hwajin Yang, Na...
LPAR
2010
Springer
13 years 6 months ago
A Simple Class of Kripke-Style Models in Which Logic and Computation Have Equal Standing
We present a sound and complete model of lambda-calculus reductions based on structures inspired by modal logic (closely related to Kripke structures). Accordingly we can construct...
Michael Gabbay, Murdoch James Gabbay
ESOP
2003
Springer
14 years 1 months ago
Using Controller-Synthesis Techniques to Build Property-Enforcing Layers
In complex systems, like robot plants, applications are built on top of a set of components, or devices. Each of them has particular individual constraints, and there are also log...
Karine Altisen, Aurélie Clodic, Florence Ma...
ENTCS
2007
101views more  ENTCS 2007»
13 years 8 months ago
Systems Modelling via Resources and Processes: Philosophy, Calculus, Semantics, and Logic
We describe a programme of research in resource semantics, concurrency theory, bunched logic, and stochastic processes, as applied to mathematical systems modelling. Motivated by ...
David J. Pym, Chris M. N. Tofts
JAIR
2006
138views more  JAIR 2006»
13 years 8 months ago
Logical Hidden Markov Models
Logical hidden Markov models (LOHMMs) upgrade traditional hidden Markov models to deal with sequences of structured symbols in the form of logical atoms, rather than flat characte...
Kristian Kersting, Luc De Raedt, Tapani Raiko