Sökning: "Learning based testing"

Visar resultat 1 - 5 av 348 uppsatser innehållade orden Learning based testing.

1. 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)

   Författare :Alexander Florean; [2024]
   Nyckelord :Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

   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

3. 2. Predicting inflow and infiltration to wastewater networks based on temperature measurements

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Martin Åsell; [2024]
   Nyckelord :Inflow and Infiltration; I I; CNN; Linear regression;

   Sammanfattning : Sewer pipelines are deteriorating due to aging and sub optimal material selections, leading to the infiltration of clean ground and rainfall water into the pipes. It is estimated that a significant portion (up to 40-50%) of the water entering wastewater treatment plants is actually clean infiltrated water. LÄS MER

4. 3. An Empirical Survey of Bandits in an Industrial Recommender System Setting

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Tobias Schwarz; Johan Brandby; [2023-09-21]
   Nyckelord :computer science; industrial application; machine learning; reinforcement learning; multi-armed bandits; MAB; contextual multi-armed bandits; survey; batch learning;

   Sammanfattning : In this thesis, the effects of incorporating unstructured data—images in the wild—in contextual multi-armed bandits are investigated, when used within a recommender system setting, which focuses on picture-based content suggestion. The idea is to employ image features, extracted by a pre-trained convolutional neural network, and study the resulting bandit behaviors when including respective excluding this information in the typical context creation, which normally relies on structured data sources—such as metadata. LÄS MER

5. 4. Machine Learning Prediction of Enzymes’ Optimal Catalytic Temperatures

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Camille Finlinson Porter; [2023-03-22]
   Nyckelord :enzyme; protein; amino acid; protein structure; optimal catalytic temperature;

   Sammanfattning : Enzymes that have been genetically engineered to withstand high temperatures are used by industry to make products with less waste and pollution. Different features of protein structure affect the optimal catalytic temperature ("topt") at which enzymes catalyze reactions most efficiently. LÄS MER

7. 5. Question-answering chatbot for Northvolt IT Support

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

   Författare :Daniel Hjelm; [2023]
   Nyckelord :Artificial intelligence; Chatbot; Natural language processing; Natural language understanding; Machine learning; Deep learning; Transformer; Question answering; Conversational agents; Conversational AI;

   Sammanfattning : Northvolt is a Swedish battery manufacturing company that specializes in the production of sustainable lithium-ion batteries for electric vehicles and energy storage systems. Established in 2016, the company has experienced significant growth in recent years. LÄS MER