Essays about: "sequence to sequence learning"

Showing result 1 - 5 of 184 essays containing the words sequence to sequence learning.

  1. 1. Predicting Navigational Patterns in Web Applications using Machine Learning Techniques

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Patric Balan; Gustav Jönemo; [2024]
    Keywords : Technology and Engineering;

    Abstract : In large corporations, customer support is a costly service, and an area of constant optimization. Solutions to increase efficiency and decrease bottlenecks are constantly needed. READ MORE

  3. 2. Evaluating and optimizing Transformer models for predicting chemical reactions

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

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

    Abstract : 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. READ MORE

  4. 3. Transformer Offline Reinforcement Learning for Downlink Link Adaptation

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

    Author : Alexander Mo; [2023]
    Keywords : Link Adaptation; Transformers; Reinforcement Learning; Sequence Modelling; Decision Transformer; Deep Neural Networks; Radio Resource Management; Telecommunication; Länkanpassning; Transformers; Reinforcement Learning; Sekvensmodellering; Beslutsstöd; Djupa neurala nätverk; Dataresurshantering; Telekommunikation;

    Abstract : Recent advancements in Transformers have unlocked a new relational analysis technique for Reinforcement Learning (RL). This thesis researches the models for DownLink Link Adaptation (DLLA). READ MORE

  5. 4. Domain Adaptation for Multi-Contrast Image Segmentation in Cardiac Magnetic Resonance Imaging

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Thomas Proudhon; [2023]
    Keywords : Cardiac Magnetic Resonance Imaging; Deep Learning; Domain Adaptation; Unsupervised Segmentation; Image-to-image Translation;

    Abstract : Accurate segmentation of the ventricles and myocardium on Cardiac Magnetic Resonance (CMR) images is crucial to assess the functioning of the heart or to diagnose patients suffering from myocardial infarction. However, the domain shift existing between the multiple sequences of CMR data prevents a deep learning model trained on a specific contrast to be used on a different sequence. READ MORE

  6. 5. AI/ML Development for RAN Applications : Deep Learning in Log Event Prediction

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

    Author : Yuxin Sun; [2023]
    Keywords : LSTM; Anomaly Detection; Failure Prediction; Log Mining; Deep Learning; LSTM; Anomali Detection; Failure Prediction; Log Mining; Deep Learning;

    Abstract : Since many log tracing application and diagnostic commands are now available on nodes at base station, event log can easily be collected, parsed and structured for network performance analysis. In order to improve In Service Performance of customer network, a sequential machine learning model can be trained, test, and deployed on each node to learn from the past events to predict future crashes or a failure. READ MORE