Essays about: "beslutsträd"
Showing result 21 - 25 of 52 essays containing the word beslutsträd.
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21. Topological recursive fitting trees : A framework for interpretable regression extending decision trees
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Many real-world machine learning applications need interpretation of an algorithm output. The simplicity of some of the most fundamental machine learning algorithms for regression, such as linear regression or decision trees, facilitates interpretation. However, they fall short when facing complex (e.g. READ MORE
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22. Enhancing decision tree accuracy and compactness with improved categorical split and sampling techniques
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Decision tree is one of the most popular algorithms in the domain of explainable AI. From its structure, it is simple to induce a set of decision rules which are totally understandable for a human. That is why there is currently research on improving decision or mapping other models into a tree. Decision trees generated by C4. READ MORE
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23. Extracting Behaviour Trees from Deep Q-Networks : Using learning from demostration to transfer knowledge between models.
University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystemAbstract : In recent years the advancement in machine learning have solved more and more complex problems. But still these techniques are not commonly used in the industry. One problem is that many of the techniques are black boxes, it is hard to analyse them to make sure that their behaviour is safe. READ MORE
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24. Estimation of Loss Given Default Distributions for Non-Performing Loans Using Zero-and-One Inflated Beta Regression Type Models
University essay from KTH/Matematisk statistikAbstract : This thesis investigates three different techniques for estimating loss given default of non-performing consumer loans. This is a contribution to a credit risk evaluation model compliant with the regulations stipulated by the Basel Accords, regulating the capital requirements of European financial institutions. READ MORE
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25. Predicting House Prices on the Countryside using Boosted Decision Trees
University essay from KTH/Matematisk statistikAbstract : This thesis intends to evaluate the feasibility of supervised learning models for predicting house prices on the countryside of South Sweden. It is essential for mortgage lenders to have accurate housing valuation algorithms and the current model offered by Booli is not accurate enough when evaluating residence prices on the countryside. READ MORE
