Sökning: "Sequential training"

Visar resultat 1 - 5 av 45 uppsatser innehållade orden Sequential training.

  1. 1. Natural Language Inference Transfer Learning in a Multi-Task Contract Dataset : In the Case of ContractNLI: a Document Information Extraction System

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Yiu Kei Tang; [2023]
    Nyckelord :;

    Sammanfattning : This thesis investigates the enhancement of legal contract Natural Language Inference (NLI) classification through supervised fine-tuning on general domain NLI, in the case of ContractNLI and Span NLI BERT (Koreeda and Manning, 2021), a multi-task document information extraction dataset and framework. Annotated datasets of a specific professional domain are scarce due to the high time and labour cost required to create them. LÄS MER

  3. 2. Combining transaction and page view data for more accurate product recommendations

    Master-uppsats, Umeå universitet/Institutionen för fysik

    Författare :Soroush Rohani; [2023]
    Nyckelord :Recommendation systems; machine learning; e-commerce;

    Sammanfattning : Recommendation systems are primarily used in e-commerce and retail to guide the user in a vast space of available items by providing personalized recommendations that fit the user's interests and need. Numerous types of recommendation systems have been introduced over the years. LÄS MER

  4. 3. Forecasting Codeword Errors in Networks with Machine Learning

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

    Författare :Angus Hansson Svan; [2023]
    Nyckelord :Forecasting; Codeword Errors; Hybrid Fiber-Coaxial; Long Short-Term Memory; Multilayer Perceptron; Hybridfiber-koaxialt nätverk; HFC; LSTM; MLP;

    Sammanfattning : With an increasing demand for rapid high-capacity internet, the telecommunication industry is constantly driven to explore and develop new technologies to ensure stable and reliable networks. To provide a competitive internet service in this growing market, proactive detection and prevention of disturbances are key elements for an operator. LÄS MER

  5. 4. Predicting Disengagement in Short-Term Human-Robot Interactions : A Study in a University Library Setting

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

    Författare :Joseph Karroum; Tomas Yonas Weldetinsae; [2023]
    Nyckelord :;

    Sammanfattning : This report presents a study that investigated the effectiveness of Support Vector Machine (SVM) as a machine learning learning technique for detecting human engagement during short-term interactions with social robots in a library setting. The goal was to build an SVM-based model trained on a dataset of recorded interactions and evaluate its performance in predicting engagement levels. LÄS MER

  7. 5. Geospatial Trip Data Generation Using Deep Neural Networks

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

    Författare :Aditya Deepak Udapudi; [2022]
    Nyckelord :Deep Learning; Geospatial; Generative Adversarial Network GAN ; Deep Learning; Geospatial; Generativa Motståndsnätverk GAN ;

    Sammanfattning : Development of deep learning methods is dependent majorly on availability of large amounts of high quality data. To tackle the problem of data scarcity one of the workarounds is to generate synthetic data using deep learning methods. LÄS MER