Sökning: "Probabilistic Networks"

Visar resultat 1 - 5 av 73 avhandlingar innehållade orden Probabilistic Networks.

1. 1. Modelling and Analysis of Probabilistic Networks

   Författare :Amin Kaveh; Matteo Magnani; Christian Rohner; Aristides Gionis; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Probabilistic Networks; Local Measures; Modelling; Clustering; Computer Science; Datavetenskap;

   Sammanfattning : As empirical data collection and inference is often an imperfect process, and many systems can be represented as networks, it is important to develop modelling and analysis methods for imperfect network data. The main focus of this dissertation is the probabilistic network model G = (V, E, p) in which each edge is associated with an independent existence probability. LÄS MER

3. 2. Local measures for probabilistic networks

   Författare :Amin Kaveh; Matteo Magnani; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer Science; Datavetenskap;

   Sammanfattning : Modeling and analysis of imperfection in network data is essential in many applications such as protein–protein interaction networks, ad-hoc networks and social influence networks. In the study of imperfect network data, three issues have to be considered: first the type of imperfection, second the aspects of networks such as existence of nodes/edges or attributes of nodes/edges in which imperfection occurs and third the theory that has been used to represent imperfection. LÄS MER

4. 3. Integrative Analysis of Dynamic Networks

   Författare :Vinay Jethava; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Lovasz theta function; dynamic networks; integrative analysis; probabilistic graphical models; support vector machines; graph kernels;

   Sammanfattning : Networks play a central role in several disciplines such as computational biology, social network analysis, transportationplanning and many others; and consequently, several methods have been developed for network analysis. However, in many cases, the study of a single network is insufficient to discover patterns with multiple facets and subtlesignals. LÄS MER

5. 4. Analyzing Substation Automation System Reliability using Probabilistic Relational Models and Enterprise Architecture

   Författare :Johan König; Lars Nordström; Sebastian Lehnhoff; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Reliability analysis; substation automation; Enterprise Architecture; probabilistic analysis; Probabilistic Relational Models; Bayesian networks; software reliability; failure rates; fault tree analysis;

   Sammanfattning : Modern society is unquestionably heavily reliant on supply of electricity. Hence, the power system is one of the important infrastructures for future growth. LÄS MER

7. 5. Gated Bayesian Networks

   Författare :Marcus Bendtsen; Jose M. Peña; Nahid Shahmehri; Helge Langseth; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : Bayesian networks have grown to become a dominant type of model within the domain of probabilistic graphical models. Not only do they empower users with a graphical means for describing the relationships among random variables, but they also allow for (potentially) fewer parameters to estimate, and enable more efficient inference. LÄS MER