Sökning: "decision tree"
Visar resultat 41 - 45 av 342 uppsatser innehållade orden decision tree.
41. AI for Cybersecurity : A Study on Machine Learning and DoS Attacks AI Robustness and Bypassing Detection Methods
Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : Cybercrime has increased for several years; both in volume andsophistication. When the capabilities of threat actors increase, techniques andtactics within cybersecurity also need to evolve. AI and machine learninghave potential to prevent and mitigate attacks. LÄS MER
42. What is a “good” forest? : a case study from Nepal to understand local women’s values for people-centred restoration
Master-uppsats, SLU/Dept. of Urban and Rural DevelopmentSammanfattning : Restoration is seen as a key strategy to counteract global issues of the climate crisis, deforestation, and land degradation. However, restoration initiatives are being criticised for failing to consider social and political dimensions, leading to negative effects on ecosystems and people. LÄS MER
43. Applications of Formal Explanations in ML
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The most performant Machine Learning (ML) classifiers have been labeled black-boxes due to the complexity of their decision process. eXplainable Artificial Intelligence (XAI) methods aim to alleviate this issue by crafting an interpretable explanation for a models prediction. LÄS MER
44. Ekonomi och virkesproduktion för hyggesfritt respektive trakthyggesbruk : en analys av ekonomiska och produktionsmässiga konsekvenser
Kandidat-uppsats, SLU/Dept. of Forest Ecology and ManagementSammanfattning : Skogsbruket som bedrivs i Sverige har under de senaste åren kritiserats av myndigheter och allmänheten. En ny skogsstrategi från EU har tagits fram för öka andelen skogsbruksmetoder, så som hyggesfria alternativ, som främjar den biologisk mångfalden samt minska koldioxidutsläppen från skogen och därav minska andelen trakthyggesbruk som bedrivs i dagsläget. LÄS MER
45. Comparative Analysis of Machine Learning Methods for Predicting Property Prices and Sale Velocities in the Real Estate Industry
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The real estate industry is one of the largest industries in the world and using data-driven decision-making has been shown to increase companies’ profitability. A technique to apply data-driven decision-making is machine learning. LÄS MER