AbstractThis paper offers an axiomatic characterization of the probabilistic relation “X is independent of Y (written (X, Y))”, where X and Y are two disjoint sets of variables. Four axioms for (X, Y) are presented and shown to be complete. Based on these axioms, a polynomial membership algorithm is developed to decide whether any given independence statement (X, Y) logically follows from a set Σ of such statements, i.e., whether (X, Y) holds in every probability distribution that satisfies Σ. The complexity of the algorithm is O(|Σ| · k2 + |Σ| · n), where |Σ| is the number of given statements, n is the number of variables in Σ ∪ {(X, Y)}, and k is the number of variables in (X, Y)
this paper, the semigraphoid closure of every couple of CI-statements is proved to be a CI-model. Th...
In this paper, we deal with conditional independence models closed with respect to graphoid properti...
Abstract. Conditional independence provides an essential framework to deal with knowledge and uncert...
AbstractThis paper offers an axiomatic characterization of the probabilistic relation “X is independ...
AbstractThis paper investigates probabilistic logics endowed with independence relations. We review ...
This paper investigates probabilistic logics endowed with independence relations. We review proposit...
\u3cp\u3eThis papers investigates the manipulation of statements of strong independence in probabili...
This paper investigates probabilistic logics endowed with independence relations. We review proposit...
This short expository paper outlines applications of computer algebra to the implication problem of ...
We explore the conditional probabilistic independences of systems of random variables (I ; J jK), to...
Abstract. Conditional independence provides an essential framework to deal with knowledge and uncert...
We consider the problem of learning conditional independencies, ex-pressed as a Markov network, from...
We examine the representation of judgements of stochastic independence in probabilistic logics. We f...
Independence and conditional independence are fundamental concepts for reasoning about groups of ran...
The topic of the paper is computer testing of (probabilistic) conditional independence (CI) implicat...
this paper, the semigraphoid closure of every couple of CI-statements is proved to be a CI-model. Th...
In this paper, we deal with conditional independence models closed with respect to graphoid properti...
Abstract. Conditional independence provides an essential framework to deal with knowledge and uncert...
AbstractThis paper offers an axiomatic characterization of the probabilistic relation “X is independ...
AbstractThis paper investigates probabilistic logics endowed with independence relations. We review ...
This paper investigates probabilistic logics endowed with independence relations. We review proposit...
\u3cp\u3eThis papers investigates the manipulation of statements of strong independence in probabili...
This paper investigates probabilistic logics endowed with independence relations. We review proposit...
This short expository paper outlines applications of computer algebra to the implication problem of ...
We explore the conditional probabilistic independences of systems of random variables (I ; J jK), to...
Abstract. Conditional independence provides an essential framework to deal with knowledge and uncert...
We consider the problem of learning conditional independencies, ex-pressed as a Markov network, from...
We examine the representation of judgements of stochastic independence in probabilistic logics. We f...
Independence and conditional independence are fundamental concepts for reasoning about groups of ran...
The topic of the paper is computer testing of (probabilistic) conditional independence (CI) implicat...
this paper, the semigraphoid closure of every couple of CI-statements is proved to be a CI-model. Th...
In this paper, we deal with conditional independence models closed with respect to graphoid properti...
Abstract. Conditional independence provides an essential framework to deal with knowledge and uncert...