Essays about: "decision tree"
Showing result 1 - 5 of 183 essays containing the words decision tree.
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1. Remote sensing analysis of land cover/use conditions of community-based wildlife conservation areas in Tanzania
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Community based approaches to conservation in the developing world have generally been criticized for not meeting their goals of sustainable conservation and local development. Inadequate local participation and inequitable benefits sharing among others are some of the major concerns. READ MORE
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2. 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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3. A sensor orientation and signal preprocessing study of a personal fall detection algorithm
University essay from Högskolan Kristianstad/Fakulteten för naturvetenskapAbstract : This study investigates if a smartphones orientation in the pocket affects the result of a decision tree model trained with data from personal falls, and also how a low-pass filter affects these results. A comparison is made between the results gathered from this study, compared to previous studies and products within the field. READ MORE
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4. Tree-based Machine Learning Models with Applications in Insurance Frequency Modelling
University essay from KTH/Skolan för teknikvetenskap (SCI)Abstract : As the insurance industry is highly data driven it is no surprise that machine learning (ML) has made its way into the industry. While GLMs are still the comfort zone of most actuaries, we have in recent years seen a surge in machine learning algorithms. READ MORE
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5. Playing the Game of Risk with an AlphaZero Agent
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis is done in collaboration with the Swedish Defense ResearchAgency and investigates the learning capabilities of zero learning algorithms from a war gaming perspective by applying them to the classic strategy board game Risk. Agents are designed using the Monte Carlo Tree Search algorithm for online decision making and is aided by a neural network that learns offline action policies and a state evaluation function. READ MORE
