Essays about: "Inbäddning"

Showing result 11 - 15 of 36 essays containing the word Inbäddning.

  1. 11. LSTM Feature Engineering Through Time Series Similarity Embedding

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Sebastian Bångerius; [2022]
    Keywords : Embedding; time series; LSTM; feature engineering; DTW; correlation; prediction;

    Abstract : Time series prediction has many applications. In cases with simultaneous series (like measurements of weather from multiple stations, or multiple stocks on the stock market)it is not unlikely that these series from different measurement origins behave similarly, or respond to the same contextual signals. READ MORE

  3. 12. Using machine learning to visualize and analyze attack graphs

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

    Author : Antoine Cottineau; [2021]
    Keywords : Attack graph; Graph visualization; Graph clustering; Network security; Node embedding; Attackgraf; grafvisualisering; grafklustering; nätverkssäkerhet; inbäddning av noder;

    Abstract : In recent years, the security of many corporate networks have been compromised by hackers who managed to obtain important information by leveraging the vulnerabilities of those networks. Such attacks can have a strong economic impact and affect the image of the entity whose network has been attacked. READ MORE

  4. 13. Traffic Prediction From Temporal Graphs Using Representation Learning

    University essay from KTH/Matematisk statistik

    Author : Andreas Movin; [2021]
    Keywords : Dynamic time warping DTW ; embedding; graph convolutional networks GCN ; graph neural networks GNN ; persistent homology; spectral graph theory; temporal graphs; topological data analysis TDA ; Dynamisk time warping DTW ; inbäddning; convolutional grafnätverk GCN ; neurala grafnätverk GNN ; persistent homologi; spektral graf teori; dynamisk graf; topologisk dataanalys TDA ;

    Abstract : With the arrival of 5G networks, telecommunication systems are becoming more intelligent, integrated, and broadly used. This thesis focuses on predicting the upcoming traffic to efficiently promote resource allocation, guarantee stability and reliability of the network. READ MORE

  5. 14. Theoretical Fundamentals of Computational Proteomics and Deep Learning- Based Identification of Chimeric Mass Spectrometry Data

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

    Author : Jens Settelmeier; [2021]
    Keywords : Computational proteomics; mass spectrometry; chimera identification; machine learning; deep learning; big data; bioinformatics; Beräkningsproteomik; masspektrometri; kimäridentifiering; maskininlärning; djupinlärning; stora data; bioinformatik;

    Abstract : A complicating factor for peptide identification by MS/MS experiments is the presence of “chimeric” spectra where at least two precursor ions with similar retention time and mass co- elute in the mass spectrometer. This results in a spectrum that is a superposition of the spectra of the individual peptides. READ MORE

  6. 15. Comparison of state-of-the-art Temporal Interaction Network methods in different settings : Novel models to predict temporal behavior

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

    Author : Indre Tauroseviciute; [2021]
    Keywords : Recommendation systems; Neural Collaborative Filtering; RNN; Backpropagation; Comparative analysis;

    Abstract : Recommendation systems become more and more necessary due to the growing supply chain. Therefore, scientists are developing models that can serve different recommendation needs faster than before, and it is getting more complicated to choose the model for a specific case. READ MORE