Melt Instability Identification Using Unsupervised Machine Learning Algorithms

Interactive Algorithms for Unsupervised Machine Learning

This thesis explores the power of interactivity in unsupervised machine learning problems. Interactive algorithms employ feedback driven measurements to mitigate the cost of data acquisition and consequently enable statistical analysis in otherwise intractable settings. Unsupervised learning methods are fundamental tools across a variety of domains, and interactive procedures promise to broaden...

Machine learning algorithms in air quality modeling

Modern studies in the field of environment science and engineering show that deterministic models struggle to capture the relationship between the concentration of atmospheric pollutants and their emission sources. The recent advances in statistical modeling based on machine learning approaches have emerged as solution to tackle these issues. It is a fact that, input variable type largely affec...

Machine learning algorithms for task identification

Context awareness plays an essential role in implementing the Ambient Intelligence vision (AmI). Instrumentalized data gloves are used for task tracking based on the information provided by sensors embedded into them. This article presents some preliminary results of the use of Genetic Algorthms for sensor selection in person independent task recognition system.

Unsupervised Machine Learning

Using Machine Learning Algorithms for Automatic Cyber Bullying Detection in Arabic Social Media

Social media allows people interact to express their thoughts or feelings about different subjects. However, some of users may write offensive twits to other via social media which known as cyber bullying. Successful prevention depends on automatically detecting malicious messages. Automatic detection of bullying in the text of social media by analyzing the text "twits" via one of the machine l...