Essays about: "Oövervakad Gruppering"

Showing result 1 - 5 of 6 essays containing the words Oövervakad Gruppering.

1. 1. SARS-CoV-2 Lineage Clustering : Using Unsupervised Machine Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Amanda Hedlund; Fonzie Forsman; [2022]
   Keywords : ;

   Abstract : The methods of sequencing genetic information and the access to this information has proved to be very useful in the research and understanding of viruses. It can for example be used to develop vaccines, manage pandemics, and attempt to map the virus’ spread and development. READ MORE

3. 2. Grouping Similar Bug Reports from Crash Dumps with Unsupervised Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Sara Vestergren; [2021]
   Keywords : Unsupervised Learning; Bug Report; Duplicate Detection; Clustering; Software Crash; Oövervakad Inlärning; Felrapport; Dublett-detektering; Klustring; Mjukvarukrasch;

   Abstract : Quality software usually means high reliability, which in turn has two main components; the software should provide correctness, which means it should perform the specified task, and robustness in the sense that it should be able to manage unexpected situations. In other words, reliable systems are systems without bugs. READ MORE

4. 3. Categorization of Customer Reviews Using Natural Language Processing

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Adam Liliemark; Viktor Enghed; [2021]
   Keywords : Machine Learning; Natural Language Processing; Unsupervised Clustering; Artificial Neural Network; Text Categorization; Maskininlärning; Natural Language Processing; Naturlig Språkbehandling; Oövervakad Gruppering; Artificiella Neurala Nätverk; Textkategorisering;

   Abstract : Databases of user generated data can quickly become unmanageable. Klarna faced this issue, with a database of around 700,000 customer reviews. Ideally, the database would be cleaned of uninteresting reviews and the remaining reviews categorized. READ MORE

5. 4. Unsupervised Feature Extraction from CT Images for Clustering of Geological Drill Core Samples

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Miquel Sven Larsson Corominas; [2019]
   Keywords : ;

   Abstract : Computed tomography (CT) scanned drill cores provide a high resolution view of the internal structure and composition of the rock, which is interesting for many analysis purposes. Although, this data is very high dimensional and difficult to analyze in an automatic way. READ MORE

6. 5. Unsupervised Representation Learning with Clustering in Deep Convolutional Networks

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Mathilde Caron; [2018]
   Keywords : Computer vision; unsupervised learning;

   Abstract : This master thesis tackles the problem of unsupervised learning of visual representations with deep Convolutional Neural Networks (CNN). This is one of the main actual challenges in image recognition to close the gap between unsupervised and supervised representation learning. READ MORE