Essays about: "Hyperparameter Optimization"
Showing result 11 - 15 of 49 essays containing the words Hyperparameter Optimization.
-
11. Credit risk modelling and prediction: Logistic regression versus machine learning boosting algorithms
University essay from Uppsala universitet/Statistiska institutionenAbstract : The use of machine learning methods in credit risk modelling has been proven to yield good results in terms of increasing the accuracy of the risk score as- signed to customers. In this thesis, the aim is to examine the performance of the machine learning boosting algorithms XGBoost and CatBoost, with logis- tic regression as a benchmark model, in terms of assessing credit risk. READ MORE
-
12. Predicting purchase intentions of customers by using web data : To identify potential customer groups during sales processes in the real estate sector
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : This master thesis aims to investigate the possibilities of predicting purchase intentions of customers during their sales processes in the real estate sector. Also, the web activity of customers on a real estate company’s web site is used as the basis for the forecasting. READ MORE
-
13. Data Driven Energy Efficiency of Ships
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Decreasing the fuel consumption and thus greenhouse gas emissions of vessels has emerged as a critical topic for both ship operators and policy makers in recent years. The speed of vessels has long been recognized to have highest impact on fuel consumption. READ MORE
-
14. Modelling and Run-Time Control of Localization System for Resource-Constrained Devices
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As resource-constrained autonomous vehicles are used for more and more applications, their ability to achieve the lowest possible localization error without expending more power than needed is crucial. Despite this, the parameter settings of the localization systems, both for the platform and the application, are often set arbitrarily. READ MORE
-
15. Evaluating the effects of hyperparameter optimization in VizDoom
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : Reinforcement learning is a machine learning technique in which an artificial intelligence agent is guided by positive and negative rewards to learn strategies. To guide the agent’s behavior in addition to the reward are its hyperparameters. These values control how the agent learns. READ MORE