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Automated project scheduling from UML sequence diagrams using OCR and critical path analysis. [PDF]
Sci RepAlyami A +3 more
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Comprehensive Mapping of Compositional Dynamics in the Formose Reaction Network. [PDF]
Angew Chem Int Ed EnglNishijima H +4 more
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MicroRNA-22 (miR-22) Regulates Trophoblast Cell Invasion via the Specificity Protein 1 (Sp1)/Cystathionine β-Synthase (CBS)/Matrix Metalloproteinases 2 and 9 (MMP-2 and MMP-9) Pathway: Implications for the Pathogenesis of Preeclampsia. [PDF]
CureusArora P +5 more
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Non-coding small RNAs buffer protein interactions to prevent oncogenic aggregation: structural dampening of aberrant PPIs by RNA. [PDF]
RNA BiolChinami M.
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Artificial Intelligence in Medicine, 1994
Influence Diagrams have been recognized as a suitable formalism for building probabilistic expert systems. Nevertheless, the most part of applications consists in stand-alone systems, concerning a very limited domain. On the other hand, Artificial Intelligence research has outlined Blackboard Architectures as the basis for building expert systems in ...
BELLAZZI, RICCARDO, QUAGLINI, SILVANA
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Influence Diagrams have been recognized as a suitable formalism for building probabilistic expert systems. Nevertheless, the most part of applications consists in stand-alone systems, concerning a very limited domain. On the other hand, Artificial Intelligence research has outlined Blackboard Architectures as the basis for building expert systems in ...
BELLAZZI, RICCARDO, QUAGLINI, SILVANA
openaire +3 more sources
Decomposition of influence diagrams
Journal of Applied Non-Classical Logics, 2001When solving a decision problem we want to determine an optimal policy for the decision variables of interest. A policy for a decision variable is in principle a function over its past. However, some of the past may be irrelevant and for both communicational as well as computational reasons it is important not to deal with redundant variables in the ...
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Decomposable Probabilistic Influence Diagrams
Probability in the Engineering and Informational Sciences, 1991Probabilistic influence diagrams are a useful stochastic modeling tool. To calculate probabilities of interest relative to a probabilistic influence diagram efficiently, it will be helpful for us to use an associated decomposable-directed graph. We first explore and discuss some graph-theoretic and conditional independence properties of decomposable ...
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Management Science, 1989
An influence diagram is a network representation of probabilistic inference and decision analysis models. The nodes correspond to variables that can be either constants, uncertain quantities, decisions, or objectives. The arcs reveal probabilistic dependence of the uncertain quantities and information available at the time of the decisions.
Ross D. Shachter, C. Robert Kenley
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An influence diagram is a network representation of probabilistic inference and decision analysis models. The nodes correspond to variables that can be either constants, uncertain quantities, decisions, or objectives. The arcs reveal probabilistic dependence of the uncertain quantities and information available at the time of the decisions.
Ross D. Shachter, C. Robert Kenley
openaire +1 more source