[1407.7502] Understanding Random Forests: From Theory to Practice
Data analysis and machine learning have become an integrative part of the modern scientific methodology, offering automated procedures for the prediction of a phenomenon based on past observations, unraveling underlying patterns in data and providing insights about the problem. Yet, caution should avoid using machine learning as a black-box tool, but rather consider it as a methodology, with a rat
Visualisation of Haskell Performance
Visualisation of Haskell Performance Submitted in accordance with the requirements for the degree of Doctor of Philosophy to the University of Leeds, School of Computing June 2014 Author: Peter Moritz Wortmann Supervisor: Dr. David Duke Advisors: Dr. Simon Marlow Dr. Satnam Singh The candidate confirms that the work submitted is his/her own, except where work which has formed part of jointly autho
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