Sökning: "supervised machine learning"

Visar resultat 41 - 45 av 87 avhandlingar innehållade orden supervised machine learning.

1. 41. Privacy-guardian : the vital need in machine learning with big data

   Författare :Xuan-Son Vu; Jiang Lili; Erik Elmroth; Stan Matwin; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : Social Network Sites (SNS) such as Facebook and Twitter, play a great role in our lives. On one hand, they help to connect people who would not otherwise be connected. Many recent breakthroughs in AI such as facial recognition [Kow+18], were achieved thanks to the amount of available data on the Internet via SNS (hereafter Big Data). LÄS MER

3. 42. Online Learning for Robot Vision

   Författare :Kristoffer Öfjäll; Michael Felsberg; Carl Henrik Ek; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : In tele-operated robotics applications, the primary information channel from the robot to its human operator is a video stream. For autonomous robotic systems however, a much larger selection of sensors is employed, although the most relevant information for the operation of the robot is still available in a single video stream. LÄS MER

4. 43. Autoencoders for Physical-Layer Communications: Approaches and Applications

   Författare :Jinxiang Song; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; physical-layer communications; neural networks; hardware impairments; machine learning; autoencoders; digital signal processing; equalization.;

   Sammanfattning : The ever-growing demand for higher data rates has driven continuous developments in communication systems over the years. As upcoming high-bandwidth services require even higher data rates, future digital communication infrastructures must undergo continuous upgrades to provide increased capacity. LÄS MER

5. 44. Data-driven Ship Performance Models - - Emphasis on Energy Efficiency and Fatigue Safety

   Författare :Xiao Lang; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; semi-empirical; energy efficiency; fatigue assessment; grey-box; full-scale measurements; speed-power relationship; added resistance due to waves; ship performance; machine learning;

   Sammanfattning : Due to digitalization in the maritime industry, a huge amount of ship operation-related data has been collected. The main objective of this thesis is to exploit machine learning/big data analytics to build data-driven ship performance models, focusing on speed-power relationship modeling, and fatigue accumulation assessment during a ship’s operation at sea. LÄS MER

7. 45. On Symmetries and Metrics in Geometric Inference

   Författare :Giovanni Luca Marchetti; Danica Kragic; Anastasiia Varava; Emanuele Rodolà; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Computational Geometry; Voronoi; Delaunay; Symmetry; Equivariance; Datalogi; Computer Science;

   Sammanfattning : Spaces of data naturally carry intrinsic geometry. Statistics and machine learning can leverage on this rich structure in order to achieve efficiency and semantic generalization. Extracting geometry from data is therefore a fundamental challenge which by itself defines a statistical, computational and unsupervised learning problem. LÄS MER