Sökning: "machine teaching"

Visar resultat 1 - 5 av 33 uppsatser innehållade orden machine teaching.

1. 1. Approximating Reasoning with Transformer Language Models

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

   Författare :Daniel Enström; Viktor Kjellberg; [2023-10-19]
   Nyckelord :natural language processing; nlp; automated reasoning; logic; inference; machine learning; transformers; language models; BERT; BART;

   Sammanfattning : We conduct experiments with BART, a generative language-model architecture, to investigate its capabilities for approximating reasoning by learning from data. For this we use the SimpleLogic dataset, a dataset of satisfiability problems in propositional logic originally created by Zhang et al. (2022). LÄS MER

3. 2. Automatic Analysis of Peer Feedback using Machine Learning and Explainable Artificial Intelligence

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Kevin Huang; [2023]
   Nyckelord :Text classification; Peer feedback; Explainable Artificial Intelligence; BERT; RoBERTa; DistilBERT; Decision Tree; MLP; CSCL; STEM education; Textklassificering; Feedback till kamrater; Förklarig Artificiell Intelligens; BERT; RoBERTa; DistilBERT; Decision Tree; MLP; CSCL; STEM-utbildning;

   Sammanfattning : Peer assessment is a process where learners evaluate and provide feedback on one another’s performance, which is critical to the student learning process. Earlier research has shown that it can improve student learning outcomes in various settings, including the setting of engineering education, in which collaborative teaching and learning activities are common. LÄS MER

4. 3. System Integration and Verification Verdict Automation using Machine Learning

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Anthony Kommareddy; [2023]
   Nyckelord :Error Detection; Machine Learning; Deep Learning; Log Files; Verdicts.;

   Sammanfattning : Context: The volume of log files is massive as they contain vital information about the application’s behavior; they map out broad parts of the application, allowing us to understand how every component behaves, whether normally or abnormally. As a result, it is critical to examine the log files to see if the system is deviating from its usual path. LÄS MER

5. 4. Conform with the Wind : Processing short-term ensemble forecasts with conformal based methods for probabilistic wind-speed forecasting

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Simon Althoff; [2023]
   Nyckelord :wind-speed; probabilistic; forecasts; forecasting; ensemble; post-processing; conformal prediction; conformal predictive systems; quantile regression forest; non-exchangeable; Mathematics and Statistics;

   Sammanfattning : Forecasting wind has always been an interesting subject, and as large parts of the world are relying more on wind for power production it is becoming even more important to have reliable forecasts. Probabilistic forecasts, where distributions are predicted in contrast to deterministic forecasts, are impor- tant for informed decision making. LÄS MER

7. 5. ElektroCHAT: A Knowledge Base-Driven Dialogue System for Electrical Engineering Students : A Proposal for Interactive Tutoring

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Fredrik Gölman; [2023]
   Nyckelord :Knowledge base; Knowledge graph; Dialogue system; Chatbot; Electrical engineering; Education; Kunskapsbas; Kunskapsgraf; Dialogsystem; Chatbot; Elektroteknik; Utbildning;

   Sammanfattning : Universities worldwide face challenges both with students dropping out of educational programmes and repetitive questions directed toward teaching staff which both consume resources and result in delays. Recent progress in natural language processing (NLP) introduces the possibility of more sophisticated dialogue systems that could help alleviate the situation. LÄS MER