• Computing policy parameters for stochastic inventory control using stochastic dynamic programming approaches 

  Visentin, Andrea (University College Cork, 2020-08-29)

  The objective of this work is to introduce techniques for the computation of optimal and near-optimal inventory control policy parameters for the stochastic inventory control problem under Scarf’s setting. A common aspect ...
• Parameter reduction in deep learning and classification 

  Browne, David (University College Cork, 2020-02-20)

  The goal of this thesis is to develop methods to reduce model and problem complexity in the area of classification tasks. Whether it is a traditional or a deep learning classification task, decreasing complexity helps ...
• On the detection of privacy and security anomalies 

  Khan, Muhammad Imran (University College Cork, 2020-03)

  Data analytics over generated personal data has the potential to derive meaningful insights to enable clarity of trends and predictions, for instance, disease outbreak prediction as well as it allows for data-driven ...
• Investigation of matching problems using constraint programming and optimisation methods 

  Chisca, Danuta Sorina (2019-11)

  This thesis focuses on matching under ordinal preferences, i.e. problems where agents may be required to list other agents that they find acceptable in order of preference. In particular, we focus on two main cases: the ...
• Chain-based recommendations 

  Rana, Arpit (2019-10-14)

  Recommender systems are discovery tools. Typically, they infer a user's preferences from her behaviour and make personalized suggestions. They are one response to the overwhelming choices that the Web affords its users. ...

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