Jun 27, 2005 · Our work stems from an observation that recursive loops in a logic program imply a time sequence and thus can be used to model a stationary ...
Recursive loops in a logic program present a challenging problem to the PLP framework. On the one hand, they loop forever so that the PLP backward-chaining ...
We observed that recursive loops in a logic program imply a time sequence and thus can be used to model a stationary DBN with- out using explicit time ...
Our work stems from an observation that recursive loops in a logic program imply a time sequence and thus can be used to model a stationary dynamic Bayesian ...
Our work stems from an observation that recursive loops in a logic program imply a time sequence and thus can be used to model a stationary dynamic Bayesian ...
A novel notion of influence clauses is introduced, based on which a declarative semantics for a Bayesian knowledge base is established and algorithms for ...
Our work stems from an observation that recursive loops in a logic program imply a time sequence and thus can be used to model a stationary dynamic Bayesian ...
Jun 27, 2005 · Abstract. Recursive loops in a logic program present a challenging problem to the PLP frame- work. On the one hand, they loop forever so ...
Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops. https://doi.org/10.1007/11536314_20 · Full text.
Our work stems from an observation that recursive loops in a logic program imply a time sequence and thus can be used to model a stationary dynamic Bayesian ...