Essays about: "Strukturinlärning"
Found 4 essays containing the word Strukturinlärning.
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1. Bayesian Networks for Modelling the Respiratory System and Predicting Hospitalizations
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Bayesian networks can be used to model the respiratory system. Their structure indicate how risk factors, symptoms, and diseases are related and the Conditional Probability Tables enable predictions about a patient’s need for hospitalization. READ MORE
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2. Causal Inference on Tactical Simulations using Bayesian Structure Learning
University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakultetenAbstract : This thesis explores the possibility of using Bayesian Structure Learning and Do-Calculus to perform causal inference on data from tactical combat simulations provided by Saab. A four-step approach is considered whose first step is to find a Bayesian Network from the data using Bayesian Structure Learning and Probability Distribution Fitting. READ MORE
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3. Rating corrumption within insurance companies using Bayesian network classifiers
University essay from Umeå universitet/StatistikAbstract : Bayesian Network (BN) classifiers are a type of probabilistic models. The learning process consists of two steps, structure learning and parameter learning. Four BN classifiers will be learned. These are two different Naive Bayes classifiers (NB), one Tree Augmented Naive Bayes classifier (TAN) and one Forest Naive Bayes classifier (FAN). READ MORE
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4. Structure Learning of Bayesian Networks with Bounded Treewidth Using Mixed Integer Linear Programming
University essay from KTH/Matematik (Avd.)Abstract : When given a Bayesian network, a common use of it is calculating conditional probabilities. This is known as inference. In order to be able to infer effectively, the structure of the Bayesian network is required to have low treewidth. READ MORE
