Essays about: "Variational Autoencoders"

Showing result 1 - 5 of 8 essays containing the words Variational Autoencoders.

  1. 1. Hierarchical Clustering of Time Series using Gaussian Mixture Models and Variational Autoencoders

    University essay from Lunds universitet/Matematisk statistik

    Author : Per Wilhelmsson; [2019]
    Keywords : Clustering; Deep Learning; Machine Learning; Time Series; Variational Autoencoders; Gaussian Mixture Models; Mathematics and Statistics;

    Abstract : This thesis proposes a hierarchical clustering algorithm for time series, comprised of a variational autoencoder to compress the series and a Gaussian mixture model to merge them into an appropriate cluster hierarchy. This approach is motivated by the autoencoders good results in dimensionality reduction tasks and by the likelihood framework given by the Gaussian mixture model. READ MORE

  2. 2. Attribute-Driven Generation of Drug Reviews using Deep Learning

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

    Author : Sylwester Liljegren; [2019]
    Keywords : ;

    Abstract : In the last years, the demands on different models using deep learning to generate textual data conditionally have increased, where one would like to control what textual data to generate from a deep learning model. For this purpose, a couple of models have been developed and achieved state-of-art performance in the field of generating textual data conditionally. READ MORE

  3. 3. Fraud Detection on Unlabeled Data with Unsupervised Machine Learning

    University essay from KTH/Hälsoinformatik och logistik; KTH/Hälsoinformatik och logistik

    Author : Martin Renström; Timothy Holmsten; [2018]
    Keywords : Anomaly detection; fraud detection; unsupervised machine learning; autoencoder; Anomali detektering; bedrägeri detektering; oövervakad maskininlärning; autoencoder;

    Abstract : A common problem in systems handling user interaction was the risk for fraudulent behaviour. As an example, in a system with credit card transactions it could have been a person using a another user's account for purchases, or in a system with advertisment it could be bots clicking on ads. READ MORE

  4. 4. Augmenting High-Dimensional Data with Deep Generative Models

    University essay from KTH/Robotik, perception och lärande, RPL

    Author : Mårten Nilsson; [2018]
    Keywords : GAN; GANs; machine learning; deep learning; generative model; generative models; deep generative model; deep generative models; generative adversarial networks; VAE; VAEs; variational autoencoder; variational autoencoders; autoencoder; auto encoder; encoder; decoder; computer vision; eye tracking; pupil localization; pupil; eyes; eye; synthetic data; big data; data generation; synthetic data generation; neural networks; neural network; high-dimensional data; high-resolution images.;

    Abstract : Data augmentation is a technique that can be performed in various ways to improve the training of discriminative models. The recent developments in deep generative models offer new ways of augmenting existing data sets. READ MORE

  5. 5. Prediction of Inter-Frequency Measurements in a LTE Network with Deep Learning

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Rasmus Holm; [2018]
    Keywords : Telecommunications; Mobile Networks; 4G; LTE; Handover; Load Balancing; Machine Learning; Deep Learning; Neural Networks; Supervised Learning; Autoencoder;

    Abstract : The telecommunications industry faces difficult challenges as more and more devices communicate over the internet. A telecommunications network is a complex system with many parts and some are candidates for further automation. We have focused on interfrequency measurements that are used during inter-frequency handovers, among other procedures. READ MORE