Sökning: "Supervised-learning by classification"

Visar resultat 1 - 5 av 98 uppsatser innehållade orden Supervised-learning by classification.

1. 1. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder

   Kandidat-uppsats, Lunds universitet/Fysiska institutionen

   Författare :Max Svensson; [2024]
   Nyckelord :Machine Learning; Self-supervised learning; AI; Physics; Medicine; Physics and Astronomy;

   Sammanfattning : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. LÄS MER

3. 2. Physical Exercise and Fatigue Detection using Machine Learning

   Uppsats för yrkesexamina på grundnivå, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Filip Säterberg; Rasmus Nilsson; [2024]
   Nyckelord :Machine Learning; Fatigue Prediction; Data Collection; Supervised learning; Surface Electromyography; Accelerometers; Maskininlärning; Trötthetsförutsägelse; Datainsamling; Övervakad; Ytlig-elektromyografi Accelerometrar;

   Sammanfattning : Monitoring of physical exercise is an important task to evaluate and adapt exercise to provide better exercise results. The Inno-X™ device, developed by Innowearable, is a device that can be used for such monitoring. It collects data using an accelerometer and sEMG sensor. LÄS MER

4. 3. Exploring the Applications of Machine Learning in the Public Sector

   Kandidat-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

   Författare :Adrian Hammarberg Dalmyr; [2023]
   Nyckelord :Physics and Astronomy;

   Sammanfattning : Despite the many use cases for machine learning, it sees minimal usage in Sweden’s public sector today. It is important that the public sector in particular utilizes the most efficient tools available. LÄS MER

5. 4. Analyzing How Blended Emotions are Expressed using Machine Learning Methods

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

   Författare :Disen Ling; [2023]
   Nyckelord :Blended emotion; Supervised learning; Model generalization capability; Ablation study; Blandade känslor; Övervakad inlärning; Modellens generaliseringsförmåga; Ablationsstudie;

   Sammanfattning : Blended emotion is a classification of emotional experiences that involve the combination of multiple emotions. Research on the expression of blended emotions allows researchers to understand how different emotions interact and coexist in an individual’s emotional experience. LÄS MER

7. 5. Self-supervised representation learning from electrocardiogram data for medical applications

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Matilda Andersson; [2023]
   Nyckelord :Self-supervised learning; Deep learning; Cardiovascular disease; Electrocardiogram; ECG; SimCLR; BYOL; VICReg; Mathematics and Statistics;

   Sammanfattning : Cardiovascular diseases are the leading cause of death worldwide, increasing yearly. However, many abnormalities in heart cycles can be discovered and treated years before the onset of diseases. But in most societies, regular health checkups are a concept reserved for cars, not humans. LÄS MER