Search for dissertations about: "Bayesian networks"
Showing result 6 - 10 of 85 swedish dissertations containing the words Bayesian networks.
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6. Sequence learning in the Bayesian Confidence Propagation Neural Network
Abstract : This thesis examines sequence learning in the Bayesian Confidence PropagationNeural Network (BCPNN). The methodology utilized throughout this work is com-putational and analytical in nature and the contributions here presented can beunderstood along the following four major themes: 1) this work starts by revisitingthe properties of the BCPNN as an attractor neural network and then provides anovel formalization of some of those properties. READ MORE
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7. Networks, Information and Economic Volatility
Abstract : This thesis makes a contribution to network theory and how it applies to economics. It consists of three self-contained papers. It predominantly considers how connections between economic entities can affect economic outcomes. READ MORE
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8. Exact inference in Bayesian networks and applications in forensic statistics
Abstract : Bayesian networks (BNs) are commonly used when describing and analyzing relationships between interacting variables. Approximate methods for performing calculations on BNs are widely used and well developed. READ MORE
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9. Global functional association network inference and crosstalk analysis for pathway annotation
Abstract : Cell functions are steered by complex interactions of gene products, like forming a temporary or stable complex, altering gene expression or catalyzing a reaction. Mapping these interactions is the key in understanding biological processes and therefore is the focus of numerous experiments and studies. READ MORE
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10. Essays on the Economics of Networks Under Incomplete Information
Abstract : Social networks constitute a major channel for the diffusion of information and the formation of attitudes in a society. Introducing a dynamic model of social learning, the first part of this thesis studies the emergence of socially influential individuals and groups, and identifies the characteristics that make them influential. READ MORE