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Showing 1 to 4 of 4 for “"Complex uncertainty"”.

  1. Complex uncertainty: Long-term risk management decision making in New Zealand local government

    … and decision processes for the management of complex, long-term risk associated with state assets. This research, therefore, asks, are current local governance arrangements and associated decision-making processes for the management of water infrastructure appropriate for long-term risk …

    waikato-masters Repository record for Complex uncertainty: Long-term risk management decision making in New Zealand local government (opens in a new tab)

  2. A Bayesian classification framework with label corrections

    … However, the data may have an extra layer of complexity with some wrongly labelled data points. The traditional semisupervised analysis doesn’t have the mechanism to treat unlabeled data and mislabeled data at the same time. Here, we propose a framework with a Bayesian approach to deal with …

    missouri Repository record for A Bayesian classification framework with label corrections (opens in a new tab)

  3. Inference in sensor networks : graphical models and particle methods

    … networks are characterized by such features as complex uncertainty and nonlinear observation processes. Particle filtering is one common technique for dealing with inference under these conditions in certain types of sequential problems, such as tracking of mobile objects.

    mit Repository record for Inference in sensor networks : graphical models and particle methods (opens in a new tab)

  4. Relative-fuzzy: a novel approach for handling complex ambiguity for software engineering of data mining models

    There are two main defined classes of uncertainty namely: fuzziness and ambiguity, where ambiguity is ‘one-to-many’ relationship between syntax and semantic of a proposition. This definition seems that it ignores ‘many-to-many’ relationship ambiguity type of uncertainty. In this thesis, we shall …

    de-montfort Repository record for Relative-fuzzy: a novel approach for handling complex ambiguity for software engineering of data mining models (opens in a new tab)