Sökning: "machine learning"

Visar resultat 56 - 60 av 4572 uppsatser innehållade orden machine learning.

  1. 56. Evaluating and optimizing Transformer models for predicting chemical reactions

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

    Författare :Siva Manohar Koki; Supriya Kancharla; [2023-10-23]
    Nyckelord :Chemformer; transformer; evaluation; explainable AI; fine-tuning; machine learning;

    Sammanfattning : In this thesis, we assess the effectiveness of a transformer model specifically trained to predict chemical reactions. The model, named Chemformer, is a sequence-tosequence model that uses the transformer’s encoder and decoder stacks. LÄS MER

  3. 57. Applying ChatGPT in AI-based dynamic video game narrative generation system

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

    Författare :Arturs Umbraško; Robert Drury; [2023-10-23]
    Nyckelord :Computer; science; engineering; thesis; ChatGPT; OpenAI; games; narrative; machine learning; interaction design;

    Sammanfattning : ChatGPT’s release and general availability has the potential to create new possibilities for storytelling in games. There are potential benefits of leveraging ChatGPT to generate a narrative at runtime in a video game, as well as possible resulting pitfalls. LÄS MER

  4. 58. Machine learning for molecular property prediction and drug safety

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

    Författare :Kinga Jenei; [2023-10-23]
    Nyckelord :Molecular property prediction; Acid dissociation constant; pKa; Machine learning; Graph Neural Networks; Molecular descriptors; Drug Discovery;

    Sammanfattning : Utilizing machine learning methods for the prediction of acid dissociation (pKa ) values of compounds holds great significance, as pKa is an important parameter, optimized frequently in drug discovery. Accurate prediction of pKa values could potentially provide valuable insights on other molecular properties and thereby support compound design. LÄS MER

  5. 59. Improving echocardiogram view classification using diffusion models

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

    Författare :Luis Arevalo; Anouka Ranby; [2023-10-23]
    Nyckelord :Computer; science; computer science; engineering; project; artificial intelligence; machine learning; deep neural networks; diffusion models; synthetic data; echocardiogram classification;

    Sammanfattning : In the field of medical science datasets are often highly imbalanced, where rare datapoints are of high importance. This study aims to explore the usage of synthetic datasets to improve the classification of echocardiogram views. LÄS MER

  7. 60. 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