874 search results - page 68 / 175 » Graph Transformation in a Nutshell |
165
Voted
ESOP
2011
Springer
14 years 7 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
145
Voted
SYNASC
2008
IEEE
15 years 10 months ago
2008
IEEE
We formalize paper fold (origami) by graph rewriting. Origami tion is abstractly described by a rewrite system (O, ), where set of abstract origami’s and is a binary relation on ...
106
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IH
2007
Springer
15 years 9 months ago
2007
Springer
We present a probabilistic program-transformation algorithm to render a given program tamper-resistant. In addition, we suggest a model to estimate the required effort for an atta...
128
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KR
1994
Springer
15 years 7 months ago
1994
Springer
Probabilistic AI planning methods that minimize expected execution cost have a neutral attitude towards risk. We demonstrate how one can transform planning problems for risk-sensi...
148
Voted
AGTIVE
2007
Springer
15 years 9 months ago
2007
Springer
In this article, we propose to use the Discrete EVent system Specification (DEVS) formalism to describe and execute graph transformation control structures. We provide a short rev...