Sökning: "incomplete data"
Visar resultat 16 - 20 av 250 avhandlingar innehållade orden incomplete data.
16. The ubiquitous signal processing : Applications to communications, spectral analysis and array processing
Sammanfattning : 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. LÄS MER
17. Probabilistic Models for Species Tree Inference and Orthology Analysis
Sammanfattning : 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. LÄS MER
18. Selfish Dynamic Spectrum Access in Multichannel Wireless Networks : Complete and incomplete information analysis
Sammanfattning : 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. LÄS MER
19. Representing and Reasoning about Complex Human Activities - an Activity-Centric Argumentation-Based Approach
Sammanfattning : 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. LÄS MER
20. On Data Mining and Classification Using a Bayesian Confidence Propagation Neural Network
Sammanfattning : 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. LÄS MER