Search for dissertations about: "Expectation Maximisation"
Showing result 1 - 5 of 13 swedish dissertations containing the words Expectation Maximisation.
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1. Spatio-Temporal Estimation for Mixture Models and Gaussian Markov Random Fields - Applications to Video Analysis and Environmental Modelling
Abstract : In this thesis computationally intensive methods are used to estimate models and to make inference for large, spatio-temporal data sets. The thesis is divided into two parts: the first two papers are concerned with video analysis, while the last three papers model and investigate environmental data from the Sahel area in northern Africa. READ MORE
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2. Sensor Fusion and Control Applied to Industrial Manipulators
Abstract : One of the main tasks for an industrial robot is to move the end-effector in a predefined path with a specified velocity and acceleration. Different applications have different requirements of the performance. READ MORE
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3. Inference techniques for stochastic nonlinear system identification with application to the Wiener-Hammerstein models
Abstract : Stochastic nonlinear systems are a specific class of nonlinear systems where unknown disturbances affect the system's output through a nonlinear transformation. In general, the identification of parametric models for this kind of systems can be very challenging. READ MORE
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4. Pharmacometric Methods and Novel Models for Discrete Data
Abstract : Pharmacodynamic processes and disease progression are increasingly characterized with pharmacometric models. However, modelling options for discrete-type responses remain limited, although these response variables are commonly encountered clinical endpoints. Types of data defined as discrete data are generally ordinal, e.g. READ MORE
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5. Rao-Blackwellised particle methods for inference and identification
Abstract : We consider the two related problems of state inference in nonlinear dynamical systems and nonlinear system identification. More precisely, based on noisy observations from some (in general) nonlinear and/or non-Gaussian dynamical system, we seek to estimate the system state as well as possible unknown static parameters of the system. READ MORE