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IDT
2010
124views more  IDT 2010»
13 years 6 months ago
Modelling decision making with probabilistic causation
Humans know how to reason based on cause and effect, but cause and effect is not enough to draw conclusions due to the problem of imperfect information and uncertainty. To resol...
Luís Moniz Pereira, Carroline Kencana Ramli
IDA
2005
Springer
14 years 29 days ago
Combining Bayesian Networks with Higher-Order Data Representations
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
Elias Gyftodimos, Peter A. Flach
IWFM
2003
172views Formal Methods» more  IWFM 2003»
13 years 8 months ago
On Continuous Models of Computation: Towards Computing the Distance Between (Logic) Programs
We present a report on work in progress on certain aspects of a programme of research concerned with building formal, mathematical models both for aspects of the computational pro...
Anthony Karel Seda, Máire Lane
SAC
2010
ACM
14 years 2 months ago
Variable ranges in linear constraints
We introduce an extension of linear constraints, called linearrange constraints, which allows for (meta-)reasoning about the approximation width of variables. Semantics for linear...
Salvatore Ruggieri, Fred Mesnard
EMSOFT
2009
Springer
14 years 2 months ago
Probabilistic modeling of data cache behavior
In this paper, we propose a formal analysis approach to estimate the expected (average) data cache access time of an application across all possible program inputs. Towards this g...
Vinayak Puranik, Tulika Mitra, Y. N. Srikant