[PDF] Top 20 On intercausal interactions in probabilistic relational models
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On intercausal interactions in probabilistic relational models
... a relational struc- ture involving multiple interacting object classes, which cannot be appropriately modelled by a Bayesian ...of relational information, probabilistic relational ... Voir le document complet
4
On the Expressiveness of Probabilistic XML Models
... to probabilistic relational models [12– 14], the comparison is more delicate because there has been a lot of research in this direction, some of it not relevant ...entry in a ...the ... Voir le document complet
26
A Framework for Offline Evaluation of Recommender Systems based on Probabilistic Relational Models
... the relational schema ...the relational schema DAG, keeping tracking of all encountered nodes and edges during the ...original relational database the child table with only those data that are ... Voir le document complet
22
Fully Abstract Models of the Probabilistic λ-calculus
... the probabilistic games model to the weighted relational ...strategies, in the spirit of ...via probabilistic Böhm trees can be shown to hold also for the weighted relational model, so ... Voir le document complet
18
Use of probabilistic relational model (PRM) for dependability analysis of complex systems
... mainly in formalizing a methodology to define an extension of Object Oriented Bayesian Networks called the Probabilistic Relational Model (Koller and Pfeffer, 1998) to model technical knowledge of an ... Voir le document complet
7
Kinetic Models and Qualitative Abstraction for Relational Learning in Systems Biology
... data in systems ...the interactions between metabolites and signaling ...changes in concentration of some of the metabolites over time into relevant ...them in our ILP-based ...sults in ... Voir le document complet
9
Optimization of Probabilistic Argumentation With Markov Decision Models
... realistic, in- termediate, modelling. In Rienstra et ...posed. In Hadjinikolis et ...dialogue. In this paper we also take such an interme- diate ...previous interactions with the same ... Voir le document complet
8
Impact of supply chain relational interactions on information sharing
... environment in recent years has greatly contributed to increased consumption, which in turn resulted in bigger ...business models and organizational configurations integrating the notion of ... Voir le document complet
17
Probabilistic Relational Model Benchmark Generation
... interest in extracting patterns from such data representation, relational data mining approaches have emerged with the interest of finding patterns in a given relational database [11] and ... Voir le document complet
30
Improving uncertain reasoning combining probabilistic relational models and expert knowledge
... complete probabilistic and causal model of a domain structured by an ontology can bring a lot to this domain’s analysis and the evolution of its knowledge ...seen in our different experiments, once the ... Voir le document complet
149
Using Probabilistic Relational Models to Generate Synthetic Spatial or Non-spatial Databases
... synthetic relational data that resemble real world data, we should consider dependencies among attributes or those among ...uses probabilistic models to describe how data is ...generative ... Voir le document complet
13
Performance goals in conflictual social interactions: Towards the distinction between two modes of relational conflict regulation
... confirmation models. In face-to-face interactions, norms of politeness become more salient and, politeness being negatively associated with dominant behaviour (Dillard, Wilson, Tusing, & Kinney, ... Voir le document complet
33
A probabilistic relational model approach for fault trees modeling
... Boolean. In addition, BNs are not adapted to model large and complex domains because the structure of the network is fixed in ...As in the oriented-object framework used in [14], ... Voir le document complet
9
An exact approach to learning probabilistic relational model
... Abstract Probabilistic Graphical Models (PGMs) offer a popular framework including a variety of statistical formalisms, such as Bayesian networks ...use. Probabilistic Relational Models ... Voir le document complet
13
Probabilistic relational model benchmark generation: Principle and application
... Random probabilistic relational models generation has to be es- tablished in order to evaluate proposed learning approaches in a common ...distribution. In [24] the authors have ... Voir le document complet
28
Probabilistic relational models learning from graph databases
... on Probabilistic Graphical Models (PGMs), PRMs and Graph ...DAPER models and MLNs which are extensions of respectively Bayesian networks and Markov net- works to the relational ...these ... Voir le document complet
154
Qualitative probabilistic relational models
... now in essence be instantiated to a ground ...constructed in a similar way as a ground Bayesian network is constructed from a numerical PRM, that is, by replicating the qualitative relational model ... Voir le document complet
15
Probabilistic approach for predicting periodic orbits in piecewise affine differential models
... edges in the discrete transition graph, in terms of the parameters of the PWA model (see also [15], for a first ...A probabilistic approach was also suggested in [20], but for a simpler class ... Voir le document complet
19
Probabilistic relational models: learning and evaluation
... Abstract Probabilistic graphical models offer a framework including famous statistical formalisms for defining complex probability models such as Bayesian networks ...Pearl in order to ... Voir le document complet
178
Learning probabilistic relational models with (partially structured) graph databases
... proposed in order to solve this task are inspired from the classical approaches used to learn Bayesian ...learn Probabilistic Rela- tional Models ...developed in [13], [14] and hybrid ... Voir le document complet
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