Sökning: "supervised machine learning"

Visar resultat 26 - 30 av 87 avhandlingar innehållade orden supervised machine learning.

1. 26. Systematic Data-Driven Continual Self-Learning

   Författare :Diarmuid Corcoran; Magnus Boman; Steven Latré; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Data-Driven Methods; Self-Learning Systems; Reinforcement Learning Algorithms; Implementation Architectures; Datadrivna metoder; Självlärande system; Reinforcement Learning-algoritmer; Implementeringsarkitekturer;

   Sammanfattning : There is a lot of unexploited potential in using data-driven and self-learning methods to dramatically improve automatic decision-making and control in complex industrial systems. So far, and on a relatively small scale, these methods have demonstrated some potential to achieve performance gains for the automated tuning of complex distributed systems. LÄS MER

3. 27. Deep Learning for Geo-referenced Data : Case Study: Earth Observation

   Författare :Nosheen Abid; Marcus Liwicki; Muhammad Zeshan Afzal; Luleå tekniska universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Artificial Intelligence; Machine Learning; Earth Observation; Computer Vision; Machine Learning; Maskininlärning;

   Sammanfattning : The thesis focuses on machine learning methods for Earth Observation (EO) data, more specifically, remote sensing data acquired by satellites and drones. EO plays a vital role in monitoring the Earth’s surface and modelling climate change to take necessary precautionary measures. LÄS MER

4. 28. Interpreting the Script : Image Analysis and Machine Learning for Quantitative Studies of Pre-modern Manuscripts

   Författare :Fredrik Wahlberg; Anders Brun; Lasse Mårtensson; Ewert Bengtsson; Apostolos Antonacopoulos; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; document analysis; machine learning; image analysis; digital humanities; document dating; writer identification; text recognition; Datavetenskap; Computer Science;

   Sammanfattning : The humanities have for a long time been a collection of fields that have not gained from the advancements in computational power, as predicted by Moore´s law.  Fields like medicine, biology, physics, chemistry, geology and economics have all developed quantitative tools that take advantage of the exponential increase of processing power over time. LÄS MER

5. 29. Learning Representations for Machine Activity Recognition

   Författare :Kunru Chen; Thorsteinn Rögnvaldsson; Reza Akhavian; Högskolan i Halmstad; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : Machine activity recognition (MAR) is an essential and effective approach for equipment productivity monitoring. Developing MAR methods for forklift trucks, a vital piece of the industry, can benefit productivity efficiency, maintenance service, product design, and potential savings. LÄS MER

7. 30. A Multi-Dimensional Approach to Human Mobility and Transportation Mode Detection Using GPS Data

   Författare :Paria Sadeghian; Johan Håkansson; Xiaoyun Zhao; Mengjie Han; Kevin Heaslip; Högskolan Dalarna; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Transport mode detection; Machine learning; Statistical learning; Rule-based method; Data labelling;

   Sammanfattning : GPS tracking data is an essential resource for analyzing human travel patterns and evaluating the effects on transportation systems. The primary challenge, however, is to accurately identify the modes of transportation within unlabeled GPS data. These approaches range from simple rule-based systems to advanced machine-learning techniques. LÄS MER