Essays about: "comparative analysis for computer science"
Showing result 1 - 5 of 9 essays containing the words comparative analysis for computer science.
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1. Evaluating the use of Brush and Tooltip for Time Series visualizations: A comparative study
University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)Abstract : This study uses a combination of user testing and analysis to evaluate the impact of brush and tooltip on the comprehension of time series visualizations. Employing a sequential mixed-methods approach, with qualitative data from semi-structured interviews used to inform the design of a visualization tool, followed by a quantitative user study to validate it. READ MORE
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2. Comparative Analysis of Language Models: hallucinations in ChatGPT : Prompt Study
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : This thesis looks at the percentage of hallucinations in two large language models (LLM), ChatGPT 3.5 and ChatGPT 4 output for a set of prompts. This work was motivated by two factors: the release of ChatGPT 4 and its parent company OpenAI, claiming it to be much more potent than its predecessor ChatGPT 3. READ MORE
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3. Evaluating the use of Brush and Tooltip for Time Series visualizations: A comparative study
University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)Abstract : This study uses a combination of user testing and analysis to evaluate the impact of brush and tooltip on the comprehension of time series visualizations. Employing a sequential mixed-methods approach, with qualitative data from semi-structured interviews used to inform the design of a visualization tool, followed by a quantitative user study to validate it. READ MORE
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4. A Comparative Study on Optimization Algorithms and its efficiency
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: In computer science, optimization can be defined as finding the most cost-effective or notable achievable performance under certain circumstances, maximizing desired factors, and minimizing undesirable results. Many problems in the real world are continuous, and it isn't easy to find global solutions. READ MORE
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5. Comparative Study of tools for Statistical Learning : Comparing the performance of data science languages and frameworks
University essay from KTH/DatavetenskapAbstract : Statistical learning is a sub-field of computer science that studies algorithms which try to solve the statistical inference problem of finding a predictive function based on data. This is used in fields such as finance, computer vision, and bioinformatics. READ MORE