Essays about: "Sequential training"

Showing result 1 - 5 of 40 essays containing the words 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

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Yiu Kei Tang; [2023]
    Keywords : ;

    Abstract : 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. READ MORE

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

    University essay from Umeå universitet/Institutionen för fysik

    Author : Soroush Rohani; [2023]
    Keywords : Recommendation systems; machine learning; e-commerce;

    Abstract : 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. READ MORE

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Abstract : 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. READ MORE

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Joseph Karroum; Tomas Yonas Weldetinsae; [2023]
    Keywords : ;

    Abstract : 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. READ MORE

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Abstract : 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. READ MORE