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UAI
2003
13 years 9 months ago
CLP(BN): Constraint Logic Programming for Probabilistic Knowledge
Abstract. In Datalog, missing values are represented by Skolem constants. More generally, in logic programming missing values, or existentially quantified variables, are represent...
Vítor Santos Costa, David Page, Maleeha Qaz...
WOLLIC
2009
Springer
14 years 2 months ago
Logic-Based Probabilistic Modeling
After briefly mentioning the historical background of PLL/SRL, we examine PRISM, a logic-based modeling language, as an instance of PLL/SRL research. We first look at the distrib...
Taisuke Sato
AAAI
2007
13 years 10 months ago
Logical Generative Models for Probabilistic Reasoning about Existence, Roles and Identity
In probabilistic reasoning, the problems of existence and identity are important to many different queries; for example, the probability that something that fits some description...
David Poole
TCS
2008
13 years 8 months ago
Absolute versus probabilistic classification in a logical setting
Suppose we are given a set W of logical structures, or possible worlds, a set of logical formulas called possible data and a logical formula . We then consider the classification p...
Sanjay Jain, Eric Martin, Frank Stephan
ICCD
2008
IEEE
139views Hardware» more  ICCD 2008»
14 years 5 months ago
Probabilistic error propagation in logic circuits using the Boolean difference calculus
- A gate level probabilistic error propagation model is presented which takes as input the Boolean function of the gate, the signal and error probabilities of the gate inputs, and ...
Nasir Mohyuddin, Ehsan Pakbaznia, Massoud Pedram