نتایج جستجو برای: Influence analysis
تعداد نتایج: 3311117 فیلتر نتایج به سال:
The potential influence diagram is a generalization of the standard "conditional" influence diagram, a directed network representation for probabilistic inference and decision analysis [Ndilikilikesha, 1991). It allows efficient inference calculations corresponding exactly to those on undirected graphs. In this paper, we explore the relationship between potential and conditional influence diagr...
this study aims to investigate value conflicts between mothers and their daughters among families and influential factors on this conflict in yazd city. this study adopted a survey method and a questionnaire was used that its validity through construct validity (factor analysis) and its reliability by cronbach alpha were measured. the population of this study consists of all yazdian families th...
the purpose of this study was to examine the status of supervision on departments’ heads at ferdowsi university of mashhad (fum) and realize some applied themes to provide a fit model for supervising departments’ heads in fum. the method was case study under a research category aimed for applied one. using purposive sampling, interviews were conducted with top fum managers, head departments, an...
Interactive dynamic influence diagrams (I-DIDs) offer a transparent and semantically clear representation for the sequential decision-making problem over multiple time steps in the presence of other interacting agents. Solving I-DIDs exactly involves knowing the solutions of possible models of the other agents, which increase exponentially with the number of time steps. We present a method of s...
abstract the influence of cation?? and anion?? interactions on the strength and nature of n…h hydrogen bond has been investigated by quantum chemical calculations in s-triazine…3hf complex. ab initio calculations were performed at mp2/6-311++g(d,p) level of theory. the natural bond orbital (nbo) analysis and the bader’s quantum theory of atoms in molecules (aim) were also used to elucidate t...
We consider the problem of learning about and comparing the consequences of dynamic treatment strategies on the basis of observational data. We formulate this within a probabilistic decision-theoretic framework. Our approach is compared with related work by Robins and others: in particular, we show how Robins’s ‘G-computation’ algorithm arises naturally from this decision-theoretic perspective....
We propose to exploit Decision Networks (DN) for the analysis of attack/defense scenarios. We show that DN extend both the modeling and the analysis capabilities of formalisms based on Attack Trees, which are the main reference model in such a context. Uncertainty can be addressed at every system level and a decisiontheoretic analysis of the risk and of the selection of the best countermeasures...
In building Bayesian belief networks, the elic itation of all probabilities required can be a major obstacle. We learned the extent of this often-cited observation in the construc tion of the probabilistic part of a complex influence diagram in the field of cancer treat ment. Based upon our negative experiences with existing methods, we designed a new method for probability elicitation from ...
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