• A distributed optimization method for the geographically distributed data centres problem 

  Wahbi, Mohamed; Grimes, Diarmuid; Mehta, Deepak; Brown, Kenneth N.; O'Sullivan, Barry (Springer International Publishing AG, 2017-06)

  The geographically distributed data centres problem (GDDC) is a naturally distributed resource allocation problem. The problem involves allocating a set of virtual machines (VM) amongst the data centres (DC) in each time ...
• Inferring waypoints using shortest paths 

  Desmond, Daniel A.; Brown, Kenneth N. (Sun SITE Central Europe / RWTH Aachen University, 2016-09)

  We present a method for reconstructing intermediate destinations from a GPS trace of a multi-part trip, without access to aggregated statistics or datasets of previous traces. The method uses repeated forwards and backwards ...
• Relevance-Redundancy Dominance: a threshold-free approach to filter-based feature selection 

  Browne, David; Manna, Carlo; Prestwich, Steven (Sun SITE Central Europe / RWTH Aachen University, 2016-09)

  Feature selection is used to select a subset of relevant features in machine learning, and is vital for simplification, improving efficiency and reducing overfitting. In filter-based feature selection, a statistic such as ...
• Preprocessing versus search processing for constraint satisfaction problems 

  Wallace, Richard J. (Sun SITE Central Europe (CEUR) / RWTH Aachen University, 2016-11)

  A perennial problem in hybrid backtrack CSP search is how much local consistency processing should be done to achieve the best efficiency. This can be divided into two separate questions: (1) how much work should be done ...
• Preference inference through rescaling preference learning 

  Wilson, Nic; Montazery, Mojtaba (International Joint Conferences on Artificial Intelligence Organization, 2016)

  One approach to preference learning, based on linear support vector machines, involves choosing a weight vector whose associated hyperplane has maximum margin with respect to an input set of preference vectors, and using ...

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