Sökning: "non supervised training"

Visar resultat 1 - 5 av 23 uppsatser innehållade orden non supervised training.

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. Semi-supervised anomaly detection in mask writer servo logs : An investigation of semi-supervised deep learning approaches for anomaly detection in servo logs of photomask writers

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

   Författare :Toomas Liiv; [2023]
   Nyckelord :anomaly detection; semi-supervision; HSC; DeepSAD; photomasks; anomalidetektion; semi-övervakad; HSC; DeepSAD; fotomasker;

   Sammanfattning : Semi-supervised anomaly detection is the setting, where in addition to a set of nominal samples, predominantly normal, a small set of labeled anomalies is available at training. In contrast to supervised defect classification, these methods do not learn the anomaly class directly and should have better generalization capability as new kinds of anomalies are introduced at test time. LÄS MER

4. 3. Federated Self-supervised Learning in Computer Vision

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Jonas Frankemölle; [2023]
   Nyckelord :;

   Sammanfattning : With an ever-increasing amount of available image data, self-supervised learning (SSL) circumvents the necessity for annotations in traditional supervised learning methods. SSL methods such as SimSiam have shown excellent results on popular benchmark datasets, even outperforming supervised methods. LÄS MER

5. 4. Anomalous Behavior Detection in Aircraft based Automatic Dependent Surveillance–Broadcast (ADS-B) system using Deep Graph Convolution and Generative model (GA-GAN)

   Magister-uppsats, Linköpings universitet/Databas och informationsteknik

   Författare :Jayesh Kenaudekar; [2022]
   Nyckelord :Intrusion detection aircraft aviation security adsb protocol AI deep learning machine learning graph generative model surveillance broadcast;

   Sammanfattning : The Automatic Dependent Surveillance-Broadcast (ADS-B) is a key component of the Next Generation Air Transportation System (Next Gen) that manages the increasingly congested airspace and operation. From Jan 2020, the U.S. Federal Aviation Administration (FAA) mandated the use of (ADS-B) as a key component of Next Gen project. LÄS MER

7. 5. Improving robustness of beyond visual range strategies with adapted training distributions

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

   Författare :Dennis Malmgren; [2022]
   Nyckelord :Reinforcement Learning; Game Theory; Air Combat; Neural Networks; Förstärkningsinlärning; Spelteori; Luftstrid; Neuronnät;

   Sammanfattning : A key obstacle for training an autonomous agent in real air-to-air combat is the lack of available training data, which makes it difficult to apply supervised learning techniques. Self-play is a method that can be used where an agent trains against itself or against versions of itself without imitation data or human instruction. LÄS MER