Insurance – A Machine Learning Perspective: Predicting Automobile Liability Insurance Pure Premiums Using Machine Learning Methods

This thesis explores the use of machine learning techniques in an effort to increase insurer competitiveness. It asks whether it is possible to accurately estimate the expected financial loss of a given insurance contract and how this information can be used to gain a competitive edge in the business. To answer these questions, some basic...

An Extensible Toolkit For Real-Time High-Performance Wideband Spectrum Sensing

This document describes the design process of a software toolkit to perform high-performance wideband spectrum sensing. A prominent application of this is Cognitive Radio, a technique that aims to make more efficient use of the available radio spectrum. An extensive theoretical analysis will be performed. Various non-uniform sampling techniques...