Add to ORKGThis paper summarizes recent investigations into the nature of informational dependencies and their representations. Axiomatic and graphical representations are presented which are both sound and complete for specialized types of independence statements. 1
The implication problem of probabilistic conditional independencies is investigated in the presence ...
This paper introduces the nolions of independence and conditional independence in valuation-based sy...
AbstractThis study introduces the concept of conditional independence in valuation-based systems (VB...
This paper summarizes recent investigations into the nature of informational dependencies and their ...
We deal with conditional decomposable information measures, directly defined as functions on a suita...
The logical and algorithmic properties of stable conditional independence (CI) as an alternative str...
The bounds of classical formulation of the independence axiom in the generalized information theory ...
AbstractThe logical and algorithmic properties of stable conditional independence (CI) as an alterna...
In this paper, we deal with conditional independence models closed with respect to graphoid properti...
AbstractIn this paper, we deal with conditional independence models closed with respect to graphoid ...
Independence-the study of what is relevant to a given problem of reasoning-is an important AI topic....
We present a framework for studying the concept of independence in a general context covering databa...
In this volume, different aspects of logics for dependence and independence are discussed, including...
Independence is a basic concept of probability theory and statistics. In a lot of fields of sciences...
Conditional independence is a crucial concept for efficient probabilistic reasoning. For symbolic an...
The implication problem of probabilistic conditional independencies is investigated in the presence ...
This paper introduces the nolions of independence and conditional independence in valuation-based sy...
AbstractThis study introduces the concept of conditional independence in valuation-based systems (VB...
This paper summarizes recent investigations into the nature of informational dependencies and their ...
We deal with conditional decomposable information measures, directly defined as functions on a suita...
The logical and algorithmic properties of stable conditional independence (CI) as an alternative str...
The bounds of classical formulation of the independence axiom in the generalized information theory ...
AbstractThe logical and algorithmic properties of stable conditional independence (CI) as an alterna...
In this paper, we deal with conditional independence models closed with respect to graphoid properti...
AbstractIn this paper, we deal with conditional independence models closed with respect to graphoid ...
Independence-the study of what is relevant to a given problem of reasoning-is an important AI topic....
We present a framework for studying the concept of independence in a general context covering databa...
In this volume, different aspects of logics for dependence and independence are discussed, including...
Independence is a basic concept of probability theory and statistics. In a lot of fields of sciences...
Conditional independence is a crucial concept for efficient probabilistic reasoning. For symbolic an...
The implication problem of probabilistic conditional independencies is investigated in the presence ...
This paper introduces the nolions of independence and conditional independence in valuation-based sy...
AbstractThis study introduces the concept of conditional independence in valuation-based systems (VB...