Sökning: "inverse filtering"

Visar resultat 1 - 5 av 23 uppsatser innehållade orden inverse filtering.

  1. 1. Recommending digital books to children : Acomparative study of different state-of-the-art recommendation system techniques

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

    Författare :Malvin Lundqvist; [2023]
    Nyckelord :Recommendation Systems; Collaborative Filtering; Matrix Factorization; Multi-Layer Perceptron; Neural Network-based Collaborative Filtering; Implicit Feedback; Deep Learning; Term Frequency-Inverse Document Frequency; Rekommendationssystem; Kollaborativ filtrering; Matrisfaktorisering; Flerlagersperceptron; Neurala nätverksbaserad kollaborativ filtrering; Implicit data; Djupinlärning; Termfrekvens med omvänd dokumentfrekvens;

    Sammanfattning : Collaborative filtering is a popular technique to use behavior data in the form of user’s interactions with, or ratings of, items in a system to provide personalized recommendations of items to the user. This study compares three different state-of-the-art Recommendation System models that implement this technique, Matrix Factorization, Multi-layer Perceptron and Neural Matrix Factorization, using behavior data from a digital book platform for children. LÄS MER

  3. 2. Linear Position Tracking for Controlling a Robotic Arm Using Inertial Sensors : Development of a Robotic Arm and an Inertial Sensor-Based Tracking System

    Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Jesper Knobe; Tobias Pekola; [2023]
    Nyckelord :Mechatronics; Robotic Arm; Inertial Measurement Unit; Inverse Kinematics; Microcontroller; Mekatronik; Robot Arm; Tröghetsmätare; Inverterad Kinematik; Mikrokontroller;

    Sammanfattning : In the field of mechatronics, different types of robotic arms are used for various applications. Control of robotic arms from a distance is required in certain situations, such as hazardous environments. LÄS MER

  4. 3. Help Document Recommendation System

    Master-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Författare :Keerthi Vijay Kumar; Pinky Mary Stanly; [2023]
    Nyckelord :Document similarity; Recommender systems; content-based filtering; collaborative filtering; Term Frequency-Inverse Document Frequency TF-IDF ; Bidirectional Encoder Representation from Transformers BERT ; Non-Negative Matrix Factorisation NMF ; cosine similarity; K-means clustering;

    Sammanfattning : Help documents are important in an organization to use the technology applications licensed from a vendor. Customers and internal employees frequently use and interact with the help documents section to use the applications and know about the new features and developments in them. LÄS MER

  5. 4. Evaluating Risk Factors with Regression : A Review and Simulation Study of Current Practices

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Ragna Reinhammar; [2022]
    Nyckelord :;

    Sammanfattning : The term ”risk factor” is used synonymously with both predictor and causal factor, and causal aims of explanatory analyses are rarely stated explicitly. Consequently, the concepts of explaining and predicting are conflated in risk factor research. LÄS MER

  7. 5. Design and training of a recommendersystem on an educational domain using Topic & Term-Frequency modeling

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för visuell information och interaktion

    Författare :Max Netterberg; Simon Wahlström; [2021]
    Nyckelord :;

    Sammanfattning : This thesis investigates the possibility to create a machine learning powered recommendersystem from educational material supplied by a media provider company. By limiting theinvestigation to a single company's data the thesis provides insights into how a limited datasupply can be utilized in creating a first iteration recommender system. LÄS MER