Insight - Centre for Data Analytics - Conference Items

Insight - Centre for Data Analytics - Conference Items

 

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  • Wilson, Nic (IOS Press, 2020-08)
    We consider a way of generating voting rules based on a random relation, the winners being alternatives that have the highest probability of being supported. We define different notions of support, such as whether an ...
  • Wilson, Nic (International Foundation for Autonomous Agents and MultiAgent Systems (IFAAMAS)., 2019-05)
    We consider a way of generating voting rules based on a random relation, the winners being alternatives that have the highest probability of being supported. We consider different notions of support, such as whether an ...
  • Wilson, Nic; George, Anne-Marie (International Joint Conferences on Artificial Intelligence, 2017-08)
    We analyse preference inference, through consistency, for general preference languages based on lexicographic models. We identify a property, which we call strong compositionality , that applies for many natural kinds of ...
  • Montazery, Mojtaba; Wilson, Nic (International Joint Conferences on Artificial Intelligence, 2017-08)
    Support Vector Machines (SVM) are among the best-known machine learning methods, with broad use in different scientific areas. However, one necessary pre-processing phase for SVM is normalization (scaling) of features, ...
  • Montazery, Mojtaba; Wilson, Nic (International Joint Conferences on Artificial Intelligence, 2017-08)
    In the task of preference learning, there can be natural invariance properties that one might often expect a method to satisfy. These include (i) invariance to scaling of a pair of alternatives, e.g., replacing a pair ( ...

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