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IJAR
2007
41views more  IJAR 2007»
8 years 11 months ago
Notes on "Notes on conditional previsions"
Paolo Vicig, Marco Zaffalon, Fabio Gagliardi Cozma...
IJAR
2007
104views more  IJAR 2007»
8 years 12 months ago
On representation and aggregation of social evaluations in computational trust and reputation models
Interest for computational trust and reputation models is on the rise. One of the most important aspects of these models is how they deal with information received from other indi...
Jordi Sabater-Mir, Mario Paolucci
IJAR
2007
54views more  IJAR 2007»
8 years 12 months ago
Convergence in Markovian models with implications for efficiency of inference
Theodore Charitos, Peter R. de Waal, Linda C. van ...
IJAR
2007
96views more  IJAR 2007»
8 years 12 months ago
Complexity measurement of fundamental pseudo-independent models
Pseudo-independent (PI) models are a special class of probabilistic domain model (PDM) where a set of marginally independent domain variables shows collective dependency, a specia...
J. Lee, Y. Xiang
IJAR
2007
96views more  IJAR 2007»
8 years 12 months ago
A paraconsistent logic programming approach for querying inconsistent databases
When integrating data coming from multiple different sources we are faced with the possibility of inconsistency in databases. A paraconsistent approach for knowledge base integra...
Sandra de Amo, Mônica Sakuray Pais
IJAR
2007
54views more  IJAR 2007»
8 years 12 months ago
Towards adding probabilities and correlations to interval computations
Daniel Berleant, Martine Ceberio, Gang Xiang, Vlad...
IJAR
2007
87views more  IJAR 2007»
8 years 12 months ago
Pruning belief decision tree methods in averaging and conjunctive approaches
The belief decision tree (BDT) approach is a decision tree in an uncertain environment where the uncertainty is represented through the Transferable Belief Model (TBM), one interp...
Salsabil Trabelsi, Zied Elouedi, Khaled Mellouli
IJAR
2007
55views more  IJAR 2007»
8 years 12 months ago
Theoretical analysis and practical insights on importance sampling in Bayesian networks
The AIS-BN algorithm [2] is a successful importance sampling-based algorithm for Bayesian networks that relies on two heuristic methods to obtain an initial importance function: -...
Changhe Yuan, Marek J. Druzdzel
IJAR
2007
113views more  IJAR 2007»
8 years 12 months ago
Fuzzy clustering in parallel universes
We present an extension of the fuzzy c-Means algorithm, which operates simultaneously on different feature spaces—so-called parallel universes—and also incorporates noise det...
Bernd Wiswedel, Michael R. Berthold
IJAR
2007
100views more  IJAR 2007»
8 years 12 months ago
Multisensor triplet Markov chains and theory of evidence
Hidden Markov chains (HMC) are widely applied in various problems occurring in different areas like Biosciences, Climatology, Communications, Ecology, Econometrics and Finances, ...
Wojciech Pieczynski
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