Sökning: "Utility Estimation"
Visar resultat 1 - 5 av 31 uppsatser innehållade orden Utility Estimation.
1. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks
Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Sammanfattning : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. LÄS MER
2. Evaluating probability weighting among lottery bond investors: an observational study on Cumulative Prospect Theory
D-uppsats, Handelshögskolan i Stockholm/Institutionen för nationalekonomiSammanfattning : Cumulative Prospect Theory is a leading descriptive theory of decisions under uncertainty, backed up by a plethora of experimental evidence. This paper is one of the first to apply it to observational data. Risk attitudes in the bond market have not been studied in a CPT framework. We fill this research gap. LÄS MER
3. Battery-Storage Investment for a Power System with High Variable Renewable Energy Output
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Climate change is posing significant threats to human beings. Deploying renewable energy sources in electricity generation is widely accepted as an indispensable part of the solution to climate change. The vast potential lies in variable renewable energy sources, such as solar and wind. LÄS MER
4. Price policy estimation for Demand Response of heat-pump-based loads
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The electricity grids have become a key player in the society. An increased usage of electricity is both a result from the more electrified society, but also as a main solver in reaching the climate goals by reducing emissions. LÄS MER
5. Skyline Delineation for Localization in Occluded Environments : Improved Skyline Delineation using Environmental Context from Deep Learning-based Semantic Segmentation
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis addresses the problem of improving the delineation of skylines, also referred to as skyline detection, in occluded and challenging environments where existing skyline delineation methods may struggle or fail. Delineated skylines can be used in monocular camera localization methods by comparing delineated skylines to digital elevation model data to estimate a position based on known terrain. LÄS MER