Search for dissertations about: "incomplete data"
Showing result 16 - 20 of 243 swedish dissertations containing the words incomplete data.
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16. The ubiquitous signal processing : Applications to communications, spectral analysis and array processing
Abstract : This dissertation is concerned with statistical signal processing and its applications. The thesis consists of three parts: I) applications to wireless communications, II) applications to spectral analysis and III) applications to array processing. READ MORE
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17. Probabilistic Models for Species Tree Inference and Orthology Analysis
Abstract : A phylogenetic tree is used to model gene evolution and species evolution using molecular sequence data. For artifactual and biological reasons, a gene tree may differ from a species tree, a phenomenon known as gene tree-species tree incongruence. Assuming the presence of one or more evolutionary events, e.g. READ MORE
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18. Selfish Dynamic Spectrum Access in Multichannel Wireless Networks : Complete and incomplete information analysis
Abstract : The increasing popularity and widespread deployment of wireless data systems fuel the increasing demand for more spectrum. On the other hand, various studies measuring spectrum utilization show that there is a huge variation in spectrum utilization at different times and locations. READ MORE
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19. Representing and Reasoning about Complex Human Activities - an Activity-Centric Argumentation-Based Approach
Abstract : The aim of this thesis is to develop theories and formal methods to endow a computing machinery with capabilities to identify, represent, reason and evaluate complex activities that are directed by an individual’s needs, goals, motives, preferences and environment, information which can be inconsistent and incomplete.Current methods for formalising and reasoning about human activity are typically limited to basic actions, e. READ MORE
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20. On Data Mining and Classification Using a Bayesian Confidence Propagation Neural Network
Abstract : The aim of this thesis is to describe how a statisticallybased neural network technology, here named BCPNN (BayesianConfidence Propagation Neural Network), which may be identifiedby rewriting Bayes' rule, can be used within a fewapplications, data mining and classification with credibilityintervals as well as unsupervised pattern recognition.BCPNN is a neural network model somewhat reminding aboutBayesian decision trees which are often used within artificialintelligence systems. READ MORE