Sökning: "Interactive Machine Learning"

Visar resultat 1 - 5 av 11 uppsatser innehållade orden Interactive Machine Learning.

  1. 1. Customer Churn Prediction for PC Games : Probability of churn predicted for big-spenders usingsupervised machine learning

    Master-uppsats, KTH/Optimeringslära och systemteori

    Författare :Valgerdur Tryggvadottir; [2019]
    Nyckelord :Customer churn prediction; whales; data analysis; machine learning; binary classification.; Kund churn prediktering; valar; dataanalys; maskinlärning; binär klas-sificering.;

    Sammanfattning : Paradox Interactive is a Swedish video game developer and publisher which has players all around the world. Paradox’s largest platform in terms of amount of players and revenue is the PC. LÄS MER

  2. 2. Bone Fragment Segmentation Using Deep Interactive Object Selection

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Martin Estgren; [2019]
    Nyckelord :Machine Learning; Convolutional Neural Networks; Computer Vision; Medical Image Segmentation;

    Sammanfattning : In recent years semantic segmentation models utilizing Convolutional Neural Networks (CNN) have seen significant success for multiple different segmentation problems. Models such as U-Net have produced promising results within the medical field for both regular 2D and volumetric imaging, rivalling some of the best classical segmentation methods. LÄS MER

  3. 3. DESIGNING FOR THE IMAGINATION OF SONIC NATURAL INTERFACES.

    Master-uppsats, Malmö universitet/Kultur och samhälle

    Författare :Tore Knudsen; [2018]
    Nyckelord :Sonic Interaction Design; Interactive Machine Learning; machine learning; Natural Interface; Research Through Design; Ubiquitous Computing;

    Sammanfattning : In this thesis I present explorative work that shows how sounds beyond speak can be used on the input side in the design of interactive experiences and natural interfaces. By engaging in explorative approaches with a material view on sound and interactive machine learning, I’ve shown how these two counterparts may be combined with a goal to envision new possibilities and perspectives on sonic natural interfaces beyond speech. LÄS MER

  4. 4. Real-time Thermal Flow Predictions for Data Centers : Using the Lattice Boltzmann Method on Graphics Processing Units for Predicting Thermal Flow in Data Centers

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Johannes Sjölund; [2018]
    Nyckelord :data center; airflow; computational fluid dynamics CFD ; lattice boltzmann method LBM ;

    Sammanfattning : The purpose of this master thesis is to investigate the usage of the Lattice Boltzmann Method (LBM) of Computational Fluid Dynamics (CFD) for real-time prediction of indoor air flows inside a data center module. Thermal prediction is useful in data centers for evaluating the placement of heat-generating equipment and air conditioning. LÄS MER

  5. 5. Utterances classifier for chatbots’ intents

    Magister-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Axel Joigneau; [2018]
    Nyckelord :Machine learning; chatbots; text classification;

    Sammanfattning : Chatbots are the next big improvement in the era of conversational services. A chatbot is a virtual person who can carry out a conversation with a human about a certain subject, using interactive textual skills. LÄS MER