ECSQARU
2009
Springer
13 years 9 months ago
2009
Springer
Abstract. When merging belief functions, Dempster rule of combination is justified only when sources can be considered as independent. When dependencies are ill-known, it is usual ...
ECSQARU
2009
Springer
13 years 9 months ago
2009
Springer
For a presented case, a Bayesian network classifier in essence computes a posterior probability distribution over its class variable. Based upon this distribution, the classifier&#...
ECSQARU
2009
Springer
13 years 9 months ago
2009
Springer
We claim that divisible residuated lattices (DRLs) can act as a unifying evaluation framework for soft constraint satisfaction problems (soft CSPs). DRLs form the algebraic semanti...
ECSQARU
2009
Springer
14 years 2 months ago
2009
Springer
ECSQARU
2009
Springer
14 years 3 months ago
2009
Springer
The Transferable Belief Model is a powerful interpretation of belief function theory where decision making is based on the pignistic transform. Smets has proposed a generalization ...
ECSQARU
2009
Springer
14 years 3 months ago
2009
Springer
Most operators for merging multiple knowledge bases (where each is a set of formulae) aim to produce a knowledge base as output that best reflects the information available in the ...
ECSQARU
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Ordinal Conditional Functions (OCFs) are one of the predominant frameworks to define belief change operators. In his original paper Spohn defines OCFs as functions from t...
ECSQARU
2009
Springer
14 years 3 months ago
2009
Springer
In this paper, a new algebraic representation by the non-Archimedean fields is proposed to model stratified/ranked knowledge bases. The non-Archimedean representation is in the for...
ECSQARU
2009
Springer
14 years 3 months ago
2009
Springer
Fuzzy vectors were introduced as a description of imprecise quantities whose uncertainty originates from vagueness, not from a probabilistic model. Support functions are a classica...
ECSQARU
2009
Springer
14 years 4 months ago
2009
Springer
We consider the problem of inference from multinomial data with chances θ, subject to the a-priori information that the true parameter vector θ belongs to a known convex polytope...