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» The Modal Logic of Probability
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ML
2008
ACM
150views Machine Learning» more  ML 2008»
15 years 1 months ago
Learning probabilistic logic models from probabilistic examples
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, José Car...
107
Voted
DAC
2005
ACM
16 years 2 months ago
Designing logic circuits for probabilistic computation in the presence of noise
As Si CMOS devices are scaled down into the nanoscale regime, current computer architecture approaches are reaching their practical limits. Future nano-architectures will confront...
Kundan Nepal, R. Iris Bahar, Joseph L. Mundy, Will...
143
Voted
CORR
2011
Springer
174views Education» more  CORR 2011»
14 years 4 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
LATIN
2004
Springer
15 years 6 months ago
Approximating the Expressive Power of Logics in Finite Models
Abstract. We present a probability logic (essentially a first order language extended with quantifiers that count the fraction of elements in a model that satisfy a first order ...
Argimiro Arratia, Carlos E. Ortiz
79
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WOLLIC
2007
Springer
15 years 7 months ago
A Formal Calculus for Informal Equality with Binding
Abstract. In informal mathematical usage we often reason using languages with binding. We usually find ourselves placing capture-avoidance constraints on where variables can and c...
Murdoch Gabbay, Aad Mathijssen