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» The Aggregation of Imprecise Probabilities
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89
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UAI
2001
15 years 2 months ago
Aggregating Learned Probabilistic Beliefs
We consider the task of aggregating beliefs of several experts. We assume that these beliefs are represented as probability distributions. We argue that the evaluation of any aggr...
Pedrito Maynard-Reid II, Urszula Chajewska
83
Voted
ICPR
2008
IEEE
15 years 7 months ago
Optimal feature weighting for the discrete HMM
We propose a modified discrete HMM that includes a feature weighting discrimination component. We assume that the feature space is partitioned into subspaces and that the relevan...
Oualid Missaoui, Hichem Frigui
132
Voted
PE
2011
Springer
167views Optimization» more  PE 2011»
14 years 7 months ago
Passage-time computation and aggregation strategies for large semi-Markov processes
High-level semi-Markov modelling paradigms such as semi-Markov stochastic Petri nets and process algebras are used to capture realistic performance models of computer and communic...
Marcel C. Guenther, Nicholas J. Dingle, Jeremy T. ...
128
Voted
CAISE
2010
Springer
15 years 1 months ago
Supporting Semantic Search on Heterogeneous Semi-structured Documents
This paper presents SHIRI-Querying 3 , an approach for semantic search on semi-structured documents. We propose a solution to tackle incompleteness and imprecision of semantic anno...
Yassine Mrabet, Nacéra Bennacer, Nathalie P...
82
Voted
ISIPTA
1999
IEEE
15 years 5 months ago
Modeling Ellsberg's Paradox in Vague-Vague Cases
We explore a generalization of Ellsberg's paradox (2color scenario) to the Vague-Vague (V-V) case, in which neither of the probabilities (urns) is specified precisely, but on...
Karen M. Kramer, David V. Budescu