Essays about: "Halvövervakad Inlärning"

Found 4 essays containing the words Halvövervakad Inlärning.

  1. 1. Bootstrapping Annotated Job Ads using Named Entity Recognition and Swedish Language Models

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

    Author : Anna Nyqvist; [2021]
    Keywords : labour market; named entity recognition; natural language processing; BERT; data annotation; inter-annotator agreement; arbetsmarknad; namngiven entitetsigenkänning; naturlig språkbehandling; BERT; dataannotering; interannoterar-överenskommelse;

    Abstract : Named entity recognition (NER) is a task that concerns detecting and categorising certain information in text. A promising approach for NER that recently has emerged is fine-tuning Transformer-based language models for this specific task. However, these models may require a relatively large quantity of labelled data to perform well. READ MORE

  3. 2. Deep Learning for Sea-Ice Classification on Synthetic Aperture Radar (SAR) Images in Earth Observation : Classification Using Semi-Supervised Generative Adversarial Networks on Partially Labeled Data

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

    Author : Francesco Staccone; [2020]
    Keywords : Earth Observation; Classification; Deep Learning; Convolutional NeuralNetworks; Semi-Supervised Learning; GenerativeAdversarialNetworks; Jordobservation; Klassificering; Djupinlärning; IhopveckladeNeurala Nätverk; Halvövervakad Inlärning; Generativa Fientliga Nätverk;

    Abstract : Earth Observation is the gathering of information about planet Earth’s system via Remote Sensing technologies for monitoring land cover types and their changes. Through the years, image classification techniques have been widely studied and employed to extract useful information from Earth Observation data such as satellite imagery. READ MORE

  4. 3. Representation Learning for Modulation Recognition of LPI Radar Signals Through Clustering

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

    Author : Mila Grancharova; [2020]
    Keywords : Clustering; Representation Learning; Semi-Supervised Learning; Low Probability of Intercept Radar; Automatic Modulation Recognition; Klustring; semiövervakad inlärning; representationsinlärning; Low Probability of Intercept radar; automatiserad modulationsigenkänning;

    Abstract : Today, there is a demand for reliable ways to perform automatic modulation recognition of Low Probability of Intercept (LPI) radar signals, not least in the defense industry. This study explores the possibility of performing automatic modulation recognition on these signals through clustering and more specifically how to learn representations of input signals for this task. READ MORE

  5. 4. Semi-Supervised Learning with Sparse Autoencoders in Automatic Speech Recognition

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : AKASH KUMAR DHAKA; [2016]
    Keywords : machine learning; automatic speech recognition; semi supervised learning;

    Abstract : This work is aimed at exploring semi-supervised learning techniques to improve the performance of Automatic Speech Recognition systems. Semi-supervised learning takes advantage of unlabeled data in order to improve the quality of the representations extracted from the data. READ MORE