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IJAR
2011
62views more  IJAR 2011»
13 years 2 months ago
Measuring and repairing inconsistency in probabilistic knowledge bases
In this paper we present a family of measures aimed at determining the amount of inconsistency in probabilistic knowledge bases. Our approach to measuring inconsistency is graded ...
David Picado-Muiño
IJAR
2011
86views more  IJAR 2011»
13 years 2 months ago
On open questions in the geometric approach to structural learning Bayesian nets
The basic idea of an algebraic approach to learning Bayesian network (BN) structures is to represent every BN structure by a certain uniquely determined vector, called the standar...
Milan Studený, Jirí Vomlel
IJAR
2011
118views more  IJAR 2011»
13 years 2 months ago
A sequential pattern mining algorithm using rough set theory
Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns in time se...
Ken Kaneiwa, Yasuo Kudo
IJAR
2011
88views more  IJAR 2011»
13 years 6 months ago
A framework for reasoning under uncertainty based on non-deterministic distance semantics
Abstract. In this paper, we introduce a general and modular framework for formalizing reasoning with incomplete and inconsistent information. Our framework is composed of non-deter...
Ofer Arieli, Anna Zamansky
IJAR
2011
81views more  IJAR 2011»
13 years 6 months ago
Change rules for hierarchical beliefs
Bernard Walliser, Denis Zwirn