Sökning: "Strukturinlärning"

Hittade 4 uppsatser innehållade ordet Strukturinlärning.

1. 1. Bayesian Networks for Modelling the Respiratory System and Predicting Hospitalizations

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Victor Lopo Martinez; [2023]
   Nyckelord :Bayesian Networks; Structure Learning; Conditional Probability Tables; Maximum Likelihood Estimator; XGBoost; and Respiratory System; Bayesianska nätverk; Strukturinlärning; Villkorliga sannolikhetstabeller; Maximum Likelihood Estimator; XGBoost; och Andningssystemet;

   Sammanfattning : 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. LÄS MER

3. 2. Causal Inference on Tactical Simulations using Bayesian Structure Learning

   Master-uppsats, Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

   Författare :Karl Lagerkvist Blomqvist; [2022]
   Nyckelord :Causal Inference; Bayesian Structure Learning; Do-Calculus; Tactical Simulations; Kausal Inferens; Bayesiansk Strukturinlärning; Do-Calculus; Taktiska Simuleringar;

   Sammanfattning : 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. LÄS MER

4. 3. Rating corrumption within insurance companies using Bayesian network classifiers

   Magister-uppsats, Umeå universitet/Statistik

   Författare :Oscar Öhman; [2019]
   Nyckelord :;

   Sammanfattning : 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). LÄS MER

5. 4. Structure Learning of Bayesian Networks with Bounded Treewidth Using Mixed Integer Linear Programming

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Max Engardt; [2014]
   Nyckelord :;

   Sammanfattning : 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. LÄS MER