Essays about: "Unsupervised representation learning"

Showing result 1 - 5 of 47 essays containing the words Unsupervised representation learning.

  1. 1. AI-assisted analysis of ICT-centre cooling : Using K-means clustering to identify cooling patterns in water-cooled ICT rooms

    University essay from Linköpings universitet/Energisystem

    Author : Oliver Wallin; Johan Jigsved; [2023]
    Keywords : AI; K-means; clustering; ICT-centre; data centre; data center; ICT-center; cooling; data center cooling;

    Abstract : Information and communications technology (ICT) is an important part in today’s society and around 60% of the world's population are connected to the internet. Processing and storing ICT data corresponds to approximately 1% of the global electricity demand. READ MORE

  3. 2. Text Curation for Clustering of Free-text Survey Responses

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Anton Gefvert; [2023]
    Keywords : Natural Language Processing; NLP; Sentence Representations; Sentence Representation Models; Survey; Surveys; Clustring;

    Abstract : When issuing surveys, having the option for free-text answer fields is only feasible where the number of respondents is small, as the work to summarize the answers becomes unmanageable with a large number of responses. Using NLP techniques to cluster these answers and summarize them would allow a greater range of survey creators to incorporate free-text answers in their survey, without making their workload too large. READ MORE

  4. 3. Unsupervised Anomaly Detection in Multivariate Time Series Using Variational Autoencoders

    University essay from Lunds universitet/Matematik LTH

    Author : Elias Aronsson; [2023]
    Keywords : Anomaly Detection; Variational Autoencoder VAE ; Unsupervised Learning; Machine learning; AI; Technology and Engineering;

    Abstract : In this master’s thesis, a novel unsupervised anomaly detection tool was developed in collaboration with Sandvik Rock Processing to assist engineers and experts in analyzing large amounts of sensor data from cone crushers used in the stone crushing industry. The tool focuses on analyzing power, pressure, and CSS sensor data. READ MORE

  5. 4. Tackling Non-Stationarity in Reinforcement Learning via Latent Representation : An application to Intraday Foreign Exchange Trading

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

    Author : Adriano Mundo; [2023]
    Keywords : Reinforcement Learning; Latent Representation; VAE; Non-Stationary; FQI; FX Trading; Förstärkningsinlärning; Latent representation; VAE; Icke-stationär; FQI; FX handel;

    Abstract : Reinforcement Learning has applications in various domains, but the typical assumption is of a stationary process. Hence, when this hypothesis does not hold, performance may be sub-optimal. READ MORE

  6. 5. Improving sample-efficiency of model-free reinforcement learning algorithms on image inputs with representation learning

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

    Author : Marko Guberina; Betelhem Dejene Desta; [2022-10-14]
    Keywords : sample-efficient reinforcement learning; state representation learning; unsupervised learning; autoencoder;

    Abstract : Reinforcement learning struggles to solve control tasks on directly on images. Performance on identical tasks with access to the underlying states is much better. READ MORE