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» Representing Uncertainty in RuleML
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SEMWEB
2005
Springer
15 years 11 months ago
The Fuzzy Description Logic f-SHIN
Abstract. In the Semantic Web information would be retrieved, processed, combined, shared and reused in the maximum automatic way possible. Obviously, such procedures involve a hig...
Giorgos Stoilos, Giorgos B. Stamou, Vassilis Tzouv...
ECAI
2004
Springer
15 years 11 months ago
Exploiting Association and Correlation Rules - Parameters for Improving the K2 Algorithm
A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...
Evelina Lamma, Fabrizio Riguzzi, Sergio Storari
ICCS
2004
Springer
15 years 11 months ago
Karhunen-Loeve Representation of Periodic Second-Order Autoregressive Processes
In dynamic data driven applications modeling accurately the uncertainty of various inputs is a key step of the process. In this paper, we first review the basics of the Karhunen-L...
Didier Lucor, Chau-Hsing Su, George E. Karniadakis
KR
2004
Springer
15 years 11 months ago
Reaching Agreement Through Argumentation: A Possibilistic Approach
Negotiation plays a key role as a means for sharing information and resources with the aim of looking for a common agreement. This paper proposes a new approach based on possibili...
Leila Amgoud, Henri Prade
ARITH
2003
IEEE
15 years 11 months ago
Revisiting SRT Quotient Digit Selection
The quotient digit selection in the SRT division algorithm is based on a few most significant bits of the remainder and divisor, where the remainder is usually represented in a r...
Peter Kornerup