Essays about: "Decision Tree"
Showing result 36 - 40 of 301 essays containing the words Decision Tree.
-
36. Neural Networks for Modeling of Electrical Parameters and Losses in Electric Vehicle
University essay from Högskolan i Skövde/Institutionen för ingenjörsvetenskapAbstract : Permanent magnet synchronous machines have various advantages and have showed the most superiorperformance for Electric Vehicles. However, modeling them is difficult because of their nonlinearity. READ MORE
-
37. Prediction of Persistence to Treatment for Patients with Rheumatoid Arthritis using Deep Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Rheumatoid Arthritis is an inflammatory joint disease that is one of the most common autoimmune diseases in the world. The treatment usually starts with a first-line treatment called Methotrexate, but it is often insufficient. One of the most common second-line treatments is Tumor Necrosis Factor inhibitors (TNFi). READ MORE
-
38. AI for Cybersecurity : A Study on Machine Learning and DoS Attacks AI Robustness and Bypassing Detection Methods
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : 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. READ MORE
-
39. What is a “good” forest? : a case study from Nepal to understand local women’s values for people-centred restoration
University essay from SLU/Dept. of Urban and Rural DevelopmentAbstract : 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. READ MORE
-
40. Applications of Formal Explanations in ML
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE