Sökning: "Multi-Layer Perceptron"

Visar resultat 1 - 5 av 62 uppsatser innehållade orden Multi-Layer Perceptron.

1. 1. User authentication through behavioral biometrics using multi-class classification algorithms : A comprehensive study of machine learning algorithms for keystroke and mouse dynamics

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

   Författare :Emil Lantz; [2023]
   Nyckelord :Behavioral biometrics; keystroke dynamics; mouse dynamics; machine learning; neural networks; decision trees.; Beteendemässig biometri; maskininlärning; neurala nätverk; beslutsträd.;

   Sammanfattning : User authentication is vital in a secure system. Authentication is achieved through something a genuine user knows, has, or is. The latter is called biometrics, commonly attributed with fingerprint and face modalities. It is also possible to identify a user based on their behavior, called behavioral biometrics. LÄS MER

3. 2. 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

4. 3. Machine Learning based Predictive Data Analytics for Embedded Test Systems

   Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

   Författare :Fayad Al Hanash; [2023]
   Nyckelord :Machine learning; Artificial Intelligence; Predictive data analytics; Embedded test systems; Confusion matrix; Predictive maintenance; Support vector machines; Random forest; Gradient Boosting; Multi-layer perceptron; Binary classification; Multi-class classification;

   Sammanfattning : Organizations gather enormous amounts of data and analyze these data to extract insights that can be useful for them and help them to make better decisions. Predictive data analytics is a crucial subfield within data analytics that make accurate predictions. Predictive data analytics extracts insights from data by using machine learning algorithms. LÄS MER

5. 4. Automatic Analysis of Peer Feedback using Machine Learning and Explainable Artificial Intelligence

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

   Författare :Kevin Huang; [2023]
   Nyckelord :Text classification; Peer feedback; Explainable Artificial Intelligence; BERT; RoBERTa; DistilBERT; Decision Tree; MLP; CSCL; STEM education; Textklassificering; Feedback till kamrater; Förklarig Artificiell Intelligens; BERT; RoBERTa; DistilBERT; Decision Tree; MLP; CSCL; STEM-utbildning;

   Sammanfattning : Peer assessment is a process where learners evaluate and provide feedback on one another’s performance, which is critical to the student learning process. Earlier research has shown that it can improve student learning outcomes in various settings, including the setting of engineering education, in which collaborative teaching and learning activities are common. LÄS MER

7. 5. Cell Tower Localization using crowdsourced measurments

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

   Författare :Carlos Escandón Álvarez; [2023]
   Nyckelord :Cell Tower Geolocation; Crowdsourced Measurements; Positioning; Machine Learning; Neural Networks;

   Sammanfattning : This thesis explores the application of a neural network approach to cell tower localization using crowdsourced measurements. The deployment of cell tower infrastructure has been increasing exponentially in recent times as it is a crucial element of mobile communications. LÄS MER